Computing with the collective intelligence of honey bees – A survey

Swarm and Evolutionary Computation - Tập 32 - Trang 25-48 - 2017
Rajasekhar Anguluri1, Nandar Lynn2, Swagatam Das3, Ponnuthurai Nagaratnam Suganthan2
1Department of Mechanical Engineering, University of California, Riverside, United states
2School of Electrical Electronic Engineering, Nanyang Technological University, 639798 Singapore, Republic of Singapore
3Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 B T Road, Kolkata 700108, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

H. A. Abbass, MBO: Marriage in honey bees optimization – a haplometrosis polygynous swarming approach. in: Proceedings of the Congress on Evolutionary Computation, 2001, IEEE, 2001.

A. Aderhold et al., Artificial bee colony optimization: a new selection scheme and its performance, in: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), Springer, 2010, pp. 283–294

E. Afarandeh, M. Yaghoobi, and M. Bolouri. Fractal image compression by local search and honey bee mating optimization, in: Computer Sciences and Convergence Information Technology (ICCIT), 5th International Conference on, IEEE, 2010.

Akay, 2012, Artificial bee colony algorithm for large-scale problems and engineering design optimization, J. Intell. Manuf., 23, 1001, 10.1007/s10845-010-0393-4

Akay, 2012, A modified artificial bee colony algorithm for real-parameter optimization, Inf. Sci., 192, 120, 10.1016/j.ins.2010.07.015

Akbari, 2010, A novel bee swarm optimization algorithm for numerical function optimization, Commun. Nonlinear Sci. Numer. Simul., 15, 3142, 10.1016/j.cnsns.2009.11.003

M.S. Alam, M.W.U. Kabir, and M.M. Islam, Self-adaptation of mutation step size in artificial bee colony algorithm for continuous function optimization, in: Computer and Information Technology (ICCIT), 13th International Conference on, IEEE, 2010.

Alizadegan, 2013, Two modified versions of artificial bee colony algorithm, Appl. Math. Comput., 225, 601, 10.1016/j.amc.2013.09.012

Amiri, 2007, Integration of self organizing feature maps and honey bee mating optimization algorithm for market segmentation, J. Theor. Appl. Inf. Technol., 3, 70

D. Ashlock, and J. Oftelie, Simulation of floral specialization in bees, in: Evolutionary Computation, CEC2004. Congress on, IEEE,2004.

Askarzadeh, 2013, Artificial bee swarm optimization algorithm for parameters identification of solar cell models, Appl. Energy, 102, 943, 10.1016/j.apenergy.2012.09.052

M.F. Azeem, A novel parent selection operator in ga for tuning of scaling factors of fkbc. in Fuzzy Systems, 2006 IEEE International Conference on, IEEE, 2006.

M.F. Azeem, M.F. and A.M. Saad, Modified queen bee evolution based genetic algorithm for tuning of scaling factors of fuzzy knowledge base controller, in: India Annual Conference, Proceedings of the IEEE INDICON, First. 2004.

A. Baig and M. Rashid, Foraging for fitness: a honey bee behavior based algorithm for function optimization, Technical report, NUCES, Pakistan, 2006.

Banharnsakun, 2011, The best-so-far selection in artificial bee colony algorithm, Appl. Soft Comput., 11, 2888, 10.1016/j.asoc.2010.11.025

Basu, 2011, Bee colony optimization for combined heat and power economic dispatch, Expert Syst. Appl., 38, 13527

Basu, 2013, Hybridization of bee colony optimization and sequential quadratic programming for dynamic economic dispatch, Int. J. Electr. Power Energy Syst., 44, 591, 10.1016/j.ijepes.2012.08.026

Baykasoglu, 2007, Artificial bee colony algorithm and its application to generalized assignment problem, Swarm Intell.: Focus Ant. Part. swarm Optim., 113

P. Bhasaputra, S. Anantasate, and W. Pattaraprakorn, Multiobjective Bees Algorithm for Optimal Power Flow Problem. ECTI Trans on Electrical Eng., Electronics, And Communications, vol. 9(1), 2011, pp. 56–64.

G.M. Bianco, Getting inspired from bees to perform large scale visual precise navigation, in: Intelligent Robots and Systems, 2004.(IROS 2004), Proceedings. 2004 IEEE/RSJ International Conference on, IEEE, 2004.

Bulut, 2014, An artificial bee colony algorithm for the economic lot scheduling problem, Int. J. Prod. Res., 52, 1150, 10.1080/00207543.2013.845315

O. Bulut and M.F. Tasgetiren, A discrete artificial bee colony algorithm for the Economic Lot Scheduling problem with returns. in Evolutionary Computation (CEC), IEEE Congress on, IEEE, 2014.

Chang, 2006, Converging marriage in honey-bees optimization and application to stochastic dynamic programming, J. Glob. Optim., 35, 423, 10.1007/s10898-005-5608-4

Chen, 2012, Simulated annealing based artificial bee colony algorithm for global numerical optimization, Appl. Math. Comput., 219, 3575, 10.1016/j.amc.2012.09.052

Cheng, 2012, A hybrid AI-based particle bee algorithm for facility layout optimization, Eng. Comput., 28, 57, 10.1007/s00366-011-0216-z

Chiu, 2010, Applying particle swarm optimization and honey bee mating optimization in developing an intelligent market segmentation system, J. Syst. Sci. Syst. Eng., 19, 182, 10.1007/s11518-010-5135-9

C.S. Chong, et al., Using a bee colony algorithm for neighborhood search in job shop scheduling problems, in: Procdeedings of the 21st European Conference on Modeling and Simulation (ECMS 2007), 2007.

C.S. Chong, et al., A bee colony optimization algorithm to job shop scheduling, in: Proceedings of the 38th Conference on Winter Simulation, Winter Simulation Conference, 2006.

Coelho, 2011, Gaussian artificial bee colony algorithm approach applied to Loney’s solenoid benchmark problem, Magn. IEEE Trans., 47, 1326, 10.1109/TMAG.2010.2087317

Das, 2013, Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization, Appl. Soft Comput., 13, 4676, 10.1016/j.asoc.2013.07.009

Das, 2014, A spatially informative optic flow model of bee colony with saccadic flight strategy for global optimization, IEEE Trans. Cybern., 44, 1884, 10.1109/TCYB.2014.2298916

T. Davidović, M. Šelmić, and D. Teodorović, Scheduling independent tasks: bee colony optimization approach, in: Control and Automation, MED'09, 17th Mediterranean Conference on, IEEE, 2009.

Davidović, 2012, Bee colony optimization for scheduling independent tasks to identical processors, J. Heuristics, 18, 549, 10.1007/s10732-012-9197-3

De Oliveira, 2011, Swarm intelligence of artificial bees applied to in-core fuel management optimization, Ann. Nucl. Energy, 38, 1039, 10.1016/j.anucene.2011.01.009

Dereli, 2011, A hybrid'bee (s) algorithm’for solving container loading problems, Appl. Soft Comput., 11, 2854, 10.1016/j.asoc.2010.11.017

Drias, 2005, Cooperative bees swarm for solving the maximum weighted satisfiability problem, 318

Duan, 2009, An improved quantum evolutionary algorithm based on artificial bee colony optimization, 269

M.A. El-Abd, cooperative approach to the artificial bee colony algorithm, in: Evolutionary Computation (CEC), 2010 IEEE Congress on, IEEE, 2010.

I. Fister, I. Fister Jr, and J.B. Zumer, Memetic artificial bee colony algorithm for large-scale global optimization, in: Evolutionary Computation (CEC), 2012 IEEE Congress on, IEEE, 2012.

Fister, 2012, A hybrid artificial bee colony algorithm for graph 3-coloring, 66

Fonseca, 2010, Protein structure prediction using bee colony optimization metaheuristic, J. Math. Model. Algorithms, 9, 181, 10.1007/s10852-010-9125-1

Gao, 2015, A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion, Expert Syst. Appl., 42, 7652, 10.1016/j.eswa.2015.06.004

Gao, 2013, A novel artificial bee colony algorithm based on modified search equation and orthogonal learning, Cybern. IEEE Trans., 43, 1011, 10.1109/TSMCB.2012.2222373

Gao, 2013, A novel artificial bee colony algorithm with Powell’s method, Appl. Soft Comput., 13, 3763, 10.1016/j.asoc.2013.05.012

Ghasemi, 2013, A fuzzified multi objective interactive honey bee mating optimization for environmental/economic power dispatch with valve point effect, Int. J. Electr. Power Energy Syst., 49, 308, 10.1016/j.ijepes.2013.01.012

Guanlong, 2012, A discrete artificial bee colony algorithm for minimizing the total flow time in the blocking flow shop scheduling, Chin. J. Chem. Eng., 20, 1067, 10.1016/S1004-9541(12)60588-6

Guney, 2008, Bees algorithm for design of dual-beam linear antenna arrays with digital attenuators and digital phase shifters, Int. J. RF Microw. Comput.-Aided Eng., 18, 337, 10.1002/mmce.20292

Guney, 2010, Bees algorithm for interference suppression of linear antenna arrays by controlling the phase-only and both the amplitude and phase, Expert Syst. Appl., 37, 3129, 10.1016/j.eswa.2009.09.072

Gutierrez, 2008, Multiagent-based fault tolerance management for robustness, 23

Haddad, 2006, Honey-bees mating optimization (HBMO) algorithm: a new heuristic approach for water resources optimization, water Resour. Manag., 20, 661, 10.1007/s11269-005-9001-3

Haddad, 2008, Design-operation of multi-hydropower reservoirs: HBMO approach, Water Resour. Manag., 22, 1709, 10.1007/s11269-008-9249-5

Han, 2013, Effective hybrid discrete artificial bee colony algorithms for the total flowtime minimization in the blocking flowshop problem, Int. J. Adv. Manuf. Technol., 67, 397, 10.1007/s00170-012-4493-5

Haris, 2012, Artificial bee colony and tabu search enhanced TTCM assisted MMSE multi-user detectors for rank deficient SDMA-OFDM system, Wirel. Personal. Commun., 65, 425, 10.1007/s11277-011-0264-0

Horng, 2010, Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization, Expert Syst. Appl., 37, 4580, 10.1016/j.eswa.2009.12.050

Horng, 2011, Image vector quantization algorithm via honey bee mating optimization, Expert Syst. Appl., 38, 1382, 10.1016/j.eswa.2010.07.037

Horng, 2010, Parametric active contour model by using the honey bee mating optimization, Expert Syst. Appl., 37, 7015, 10.1016/j.eswa.2010.03.017

Hsieh, 2011, Forecasting stock markets using wavelet transforms and recurrent neural networks: an integrated system based on artificial bee colony algorithm, Appl. soft Comput., 11, 2510, 10.1016/j.asoc.2010.09.007

Huang, 2013, Application of enhanced honey-bee mating optimization algorithm to fault section estimation in power systems, Power Deliv. IEEE Trans., 28, 1944, 10.1109/TPWRD.2013.2264142

Huang, 2011, A new bee colony optimization algorithm with idle-time-based filtering scheme for open shop-scheduling problems, Expert Syst. Appl., 38, 5438, 10.1016/j.eswa.2010.10.010

R.M. Idris, A. Khairuddin, and M. Mustafa. A multi-objective Bees Algorithm for optimum allocation of FACTS devices for restructured power system, in: Proceedings of the TENCON 2009-2009 IEEE Region 10 Conference, IEEE, 2009.

Irani, 2011, Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling, J. Pet. Sci. Eng., 78, 6, 10.1016/j.petrol.2011.05.006

Jevtic, 2012, Distributed Bees Algorithm for task allocation in swarm of robots, IEEE Syst. J., 6, 296, 10.1109/JSYST.2011.2167820

Jeya Mala, 2010, Automated software test optimisation framework-an artificial bee colony optimisation-based approach, Softw. IET, 4, 334, 10.1049/iet-sen.2009.0079

Jung, 2003, Queen-bee evolution for genetic algorithms, Electron. Lett., 39, 575, 10.1049/el:20030383

Kang, 2011, Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions, Inf. Sci., 181, 3508, 10.1016/j.ins.2011.04.024

Kang, 2009, Structural inverse analysis by hybrid simplex artificial bee colony algorithms, Comput. Struct., 87, 861, 10.1016/j.compstruc.2009.03.001

Kang, 2010, Task allocation for maximizing reliability of distributed computing systems using honeybee mating optimization, J. Syst. Softw., 83, 2165, 10.1016/j.jss.2010.06.024

Karaarslan, 2013, The implementation of bee colony optimization algorithm to Sheppard–Taylor PFC converter, IEEE Trans. Ind. Electron., 60, 3711, 10.1109/TIE.2012.2204711

D. Karaboga, An Idea Based on Honey Bee Swarm for Numerical Optimization, 2005

D. Karaboga, B. Akay, Artificial bee colony (ABC) algorithm on training artificial neural networks, in: Proceedings of the IEEE 15th Signal Processing and Communications Applications, 2007

Karaboga, 2011, A modified artificial bee colony (ABC) algorithm for constrained optimization problems, Appl. Soft Comput., 11, 3021, 10.1016/j.asoc.2010.12.001

Karaboga, 2007, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm, J. Glob. Optim., 39, 459, 10.1007/s10898-007-9149-x

Karaboga, 2011, A novel clustering approach: Artificial Bee Colony (ABC) algorithm, Appl. soft Comput., 11, 652, 10.1016/j.asoc.2009.12.025

Karaboga, 2009, A new design method based on artificial bee colony algorithm for digital IIR filters, J. Frankl. Inst., 346, 328, 10.1016/j.jfranklin.2008.11.003

K. Karabulut and M.F. Tasgetiren, A discrete artificial bee colony algorithm for the traveling salesman problem with time windows, in: Evolutionary Computation (CEC), IEEE Congress on, 2012, IEEE.

Karabulut, K. and M.F. Tasgetiren. A discrete artificial bee colony algorithm for the team orienteering problem with time windows, in: Computational Intelligence In Production And Logistics Systems (CIPLS), 2013 IEEE Workshop on, IEEE, 2013.

A. Karcı, Imitation of bee reproduction as a crossover operator in genetic algorithms, in: PRICAI 2004: Trends in Artificial Intelligence, Springer, 2004, pp. 1015–101

Kavousi, 2012, Application of the Bee Algorithm for Selective Harmonic Elimination Strategy in Multilevel Inverters, IEEE Trans. Power Electron., 27, 1689, 10.1109/TPEL.2011.2166124

D. Kizilay, et al., A discrete artificial bee colony algorithm for the assignment and parallel machine scheduling problem in DYO paint company, in: Evolutionary Computation (CEC), IEEE Congress, IEEE, 2014.

Ko, 2008, A new class of nature-inspired algorithms for self-adaptive peer-to-peer computing, ACM Trans. Auton. Adapt. Syst., 3, 11, 10.1145/1380422.1380426

Koudil, 2007, Using artificial bees to solve partitioning and scheduling problems in codesign, Appl. Math. Comput., 186, 1710, 10.1016/j.amc.2006.08.166

J.Y. Lee, A.H. Darwish, Multi-objective environmental/economic dispatch using the bees algorithm with weighted sum, in: EKC2008 Proceedings of the EU-Korea Conference on Science and Technology, Springer, 2008

Li, 2015, Solving the large-scale hybrid flow shop scheduling problem with limited buffers by a hybrid artificial bee colony algorithm, Inf. Sci., 316, 487, 10.1016/j.ins.2014.10.009

Li, 2012, A hybrid Pareto-based local search algorithm for multi-objective flexible job shop scheduling problems, Int. J. Prod. Res., 50, 1063, 10.1080/00207543.2011.555427

Li, 2011, Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems, Int. J. Adv. Manuf. Technol., 55, 1159, 10.1007/s00170-010-3140-2

Li, 2014, A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities, Appl. Math. Model., 38, 1111, 10.1016/j.apm.2013.07.038

Li, 2011, A hybrid artificial bee colony algorithm for flexible job shop scheduling problems, Int. J. Comput. Commun. Control, 6, 286, 10.15837/ijccc.2011.2.2177

X. Liu and Z. Cai, Artificial bee colony programming made faster, in: Natural Computation, ICNC'09, Fifth International Conference on, IEEE, 2009.

M. Low, M. Chandramohan, and C. Choo, Application of multi-objective bee colony optimization algorithm to Automated Red Teaming, in: Simulation Conference (WSC), Proceedings of the 2009 Winter, 2009.

X. Lu, and Y. Zhou, A Genetic Algorithm Based on Multi-bee population evolutionary for numerical optimization, in: Intelligent Control and Automation, WCICA, 7th World Congress on, IEEE, 2008.

P. Lucic D. Teodorovic. Bee system: modeling combinatorial optimization transportation engineering problems by swarm intelligence, in: Proceedings of the Preprints of the TRISTAN IV Triennial Symposium on Transportation Analysis. 2001

Lučić, 2003, Computing with bees: attacking complex transportation engineering problems, Int. J. Artif. Intell. Tools, 12, 375, 10.1142/S0218213003001289

Luo, 2014, A parallel Bees Algorithm implementation on GPU, J. Syst. Arch., 60, 271, 10.1016/j.sysarc.2013.09.007

Luo, 2013, A modified artificial bee colony algorithm based on converge-onlookers approach for global optimization, Appl. Math. Comput., 219, 10253, 10.1016/j.amc.2013.04.001

R. Luo, et al. Parallelized artificial bee colony with ripple-communication strategy, in: Proceedings of the Genetic and Evolutionary Computing (ICGEC), Fourth International Conference on, 2010. IEEE.

Ma, 2011, SAR image segmentation based on Artificial Bee Colony algorithm, Appl. Soft Comput., 11, 5205, 10.1016/j.asoc.2011.05.039

Manoj, 2012, Artificial bee colony algorithm for the design of multiplier-less nonuniform filter bank transmultiplexer, Inf. Sci., 192, 193, 10.1016/j.ins.2011.02.023

Y. Marinakis, and M. Marinaki. A hybrid honey bees mating optimization algorithm for the probabilistic traveling salesman problem. in: Proceedings of the Evolutionary Computation, 2009. CEC'09. IEEE Congress on. 2009. IEEE.

Marinakis, 2010, Honey Bees Mating Optimization algorithm for large scale vehicle routing problems, Nat. Comput., 9, 5, 10.1007/s11047-009-9136-x

Marinakis, 2007, A hybrid clustering algorithm based on honey bees mating optimization and greedy randomized adaptive search procedure, 138

Mazhar, 2007, BeeAIS: Artificial immune system security for nature inspired, MANET routing protocol, BeeAdHoc, 370

N. Mazhar, and M. Farooq, A sense of danger: dendritic cells inspired artificial immune system for manet security, in: Proceedings of the 10th annual conference on Genetic and evolutionary computation, ACM, 2008.

Mernik, 2015, On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation, Inf. Sci., 291, 115, 10.1016/j.ins.2014.08.040

Mezura-Montes, 2012, Empirical analysis of a modified artificial bee colony for constrained numerical optimization, Appl. Math. Comput., 218, 10943, 10.1016/j.amc.2012.04.057

E. Mezura-Montes, M. Damián-Araoz, and O. Cetina-Domíngez, Smart flight and dynamic tolerances in the artificial bee colony for constrained optimization, in: Evolutionary Computation (CEC), IEEE Congress on, IEEE, 2010.

E. Mezura-Montes and R.E. Velez-Koeppel, Elitist artificial bee colony for constrained real-parameter optimization, in: Proceedings of the Evolutionary Computation (CEC), IEEE Congress on, IEEE, 2010.

Ming, H., J. Baohui, and L. Xu, An improved bee evolutionary genetic algorithm. in: Proceedings of the Intelligent Computing and Intelligent Systems (ICIS), IEEE International Conference on, IEEE, 2010.

Moradi, 2010, Finite element model updating using bees algorithm, Struct. Multidiscip. Optim., 42, 283, 10.1007/s00158-010-0492-z

P. Moreno, et al., Parameter Extraction Method using Genetic Algorithms for an Improved OTFT Compact Model. in Electron Devices, Spanish Conference on, IEEE, 2007.

Nakrani, 2004, On honey bees and dynamic server allocation in internet hosting centers, Adapt. Behav., 12, 223, 10.1177/105971230401200308

Nakrani, 2007, From honeybees to internet servers: biomimicry for distributed management of internet hosting centers, Bioinspiration Biomim., 2, S182, 10.1088/1748-3182/2/4/S07

P. Návrat. et al., Exploring social behaviour of honey bees searching on the web, in: Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology-Workshops, IEEE Computer Society, 2007

Niknam, 2008, Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators, J. Zhejiang Univ. Sci. A, 9, 1753, 10.1631/jzus.A0820047

Niknam, 2009, An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective distribution feeder reconfiguration, Energy Convers. Manag., 50, 2074, 10.1016/j.enconman.2009.03.029

Niknam, 2011, A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering distributed generators, Appl. Energy, 88, 778, 10.1016/j.apenergy.2010.08.027

Niknam, 2011, An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants, Energy, 36, 119, 10.1016/j.energy.2010.10.062

Niknam, 2008, A hybrid algorithm based on HBMO and fuzzy set for multi-objective distribution feeder reconfiguration, World Appl. Sci. J., 4, 308

Omkar, 2011, Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures, Appl. Soft Comput., 11, 489, 10.1016/j.asoc.2009.12.008

Ozkan, 2011, Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration, Irrig. Sci., 29, 431, 10.1007/s00271-010-0254-0

C. Ozturk and D. Karaboga, Classification by neural networks and clustering with artificial bee colony (ABC) algorithm, in: Proceedings of the 6th International Symposium on Intelligent and Manufacturing Systems, Features, Strategies and Innovation, 2008.

M. Packianather, M. Landy, and D. Pham, Enhancing the speed of the bees algorithm using pheromone-based recruitment, in: Proceedings of the 7th IEEE International Conference on Industrial Informatics, INDIN, IEEE, 2009.

Pai, 2009, Forecasting output of integrated circuit industry by support vector regression models with marriage honey-bees optimization algorithms, Expert Syst. Appl., 36, 10746, 10.1016/j.eswa.2009.02.035

Pan, 2011, A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem, Inf. Sci., 181, 2455, 10.1016/j.ins.2009.12.025

Pan, 2014, A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation, Omega, 45, 42, 10.1016/j.omega.2013.12.004

Pan, 2013, An effective artificial bee colony algorithm for a real-world hybrid flowshop problem in steelmaking process, Autom. Sci. Eng. IEEE Trans., 10, 307, 10.1109/TASE.2012.2204874

Parpinelli, 2011, Parallel approaches for the artificial bee colony algorithm, 329

K.M. Passino, Systems biology of group decision making, in: Proceedings of the 14th Mediterranean Conference on Control and Automation, MED'06, IEEE, 2006.

D. Pham and A.H. Darwish. Fuzzy selection of local search sites in the Bees Algorithm, in: Proceedings of the 4th Virtual International Conference on Intelligent Production Machines and Systems, 2008.

D. Pham and A. Ghanbarzadeh, Multi-objective optimisation using the bees algorithm, in: Proceedings of the IPROMS 2007 Conference, 2007.

D. Pham. et al., The bees algorithm. Technical note. Manufacturing Engineering Centre, Cardiff University, UK, 2005, pp. 1–57

Pham, 2010, Design of a two-dimensional recursive filter using the bees algorithm, Int. J. Autom. Comput., 7, 399, 10.1007/s11633-010-0520-x

D. Pham, et al., Data clustering using the bees algorithm, in: Proceedings of the 40th CIRP International Manufacturing Systems Seminar, 2007.

D. Pham, et al., Dynamic optimisation of chemical engineering processes using the bees algorithm, in: Proceedings of the 17th IFAC World Congress COEX, 2008.

D. Pham and M. Sholedolu, Using a hybrid PSO-bees algorithm to train neural networks for wood defect classification. in: Proceedings of the 4th International Virtual Conference on Intelligent Production Machines and Systems, IPROMS, 2008.

Pham, 2009, Optimisation of a fuzzy logic controller using the bees algorithm, Int. J. Comput. Aided Eng. Technol., 1, 250, 10.1504/IJCAET.2009.022790

D.T. Pham, et al., Optimisation of the weights of multi-layered perceptrons using the bees algorithm, in: Proceedings of the 5th International Symposium On Intelligent Manufacturing Systems, Sakarya, Turkey, 2006.

Purnamadjaja, 2005, Pheromone communication in a robot swarm: necrophoric bee behaviour and its replication, Robotica, 23, 731, 10.1017/S0263574704001225

Purnamadjaja, 2007, Guiding robots’ behaviors using pheromone communication, Auton. Robot., 23, 113, 10.1007/s10514-007-9035-x

L.D. Qin, et al, A queen-bee evolution based on genetic algorithm for economic power dispatch, in: Proceedings of the 39th International Universities Power Engineering Conference, UPEC, 2004.

H. Quan and X. Shi. On the analysis of performance of the improved artificial-bee-colony algorithm, in: Proceedings of the Fourth International Conference onNatural Computation, ICNC'08, IEEE, 2008.

Quijano, 2010, Honey bee social foraging algorithms for resource allocation: theory and application, Eng. Appl. Artif. Intell., 23, 845, 10.1016/j.engappai.2010.05.004

A. Rajasekhar, A. Abraham, and R.K. Jatoth. Controller tuning using a cauchy mutated artificial bee colony algorithm, in: Proceedings of the 6th International Conference SOCO on Soft Computing Models in Industrial and Environmental Applications, Springer, 2011.

Rao, 2008, Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm, Int. J. Electr. Power Energy Syst. Eng., 1, 116

Ribas, 2015, An efficient Discrete Artificial Bee Colony algorithm for the blocking flow shop problem with total flowtime minimization, Expert Syst. Appl., 42, 6155, 10.1016/j.eswa.2015.03.026

Sabat, 2010, Artificial bee colony algorithm for small signal model parameter extraction of MESFET, Eng. Appl. Artif. Intell., 23, 689, 10.1016/j.engappai.2010.01.020

Sadeg, 2007, A selective approach to parallelise Bees Swarm Optimisation metaheuristic: application to MAX-W-SAT, Int. J. Innov. Comput. Appl., 1, 146, 10.1504/IJICA.2007.016796

S. Sadik, et al., Using Honey Bee Teamwork Strategy in Software Agents, in: Proceedings of the 10th International Conference on Computer Supported Cooperative Work in Design, 2006.

Saleem, 2007, Beesensor: a bee-inspired power aware routing protocol for wireless sensor networks, 81

Saleem, M., S.A. Khayam, and M. Farooq. A formal performance modeling framework for bio-inspired ad hoc routing protocols, in: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, ACM, 2008.

Salim, 2011, Discrete bee algorithms and their application in multivariable function optimization, Artif. Intell. Rev., 35, 73, 10.1007/s10462-010-9184-8

Sato, T. and M. Hagiwara. Bee system: finding solution by a concentrated search, in: Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation, IEEE International Conference on, IEEE, 1997.

Sayadi, 2009, Multi-objective optimization using the bees Algorithm in time-varying channel for MIMO MC-CDMA systems, Eur. J. Sci. Res., 33, 411

Shermeh, 2010, Blind signal-type classification using a novel robust feature subset selection method and neural network classifier, Ann. Telecommun.– Ann. Des. télécommunications, 65, 625, 10.1007/s12243-010-0180-4

Shrme, 2011, Hybrid intelligent technique for automatic communication signals recognition using bees algorithm and MLP neural networks based on the efficient features, Expert Syst. Appl., 38, 6000, 10.1016/j.eswa.2010.11.021

Singh, 2009, An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem, Appl. Soft Comput., 9, 625, 10.1016/j.asoc.2008.09.001

Soltanjalili, 2011, Effect of breakage level one in design of water distribution networks, Water Resour. Manag., 25, 311, 10.1007/s11269-010-9701-1

Sonmez, 2011, Artificial Bee Colony algorithm for optimization of truss structures, Appl. Soft Comput., 11, 2406, 10.1016/j.asoc.2010.09.003

Sonmez, 2011, Discrete optimum design of truss structures using artificial bee colony algorithm, Struct. Multidiscip. Optim., 43, 85, 10.1007/s00158-010-0551-5

Sörensen, 2015, Metaheuristics—the metaphor exposed, Int. Trans. Oper. Res., 22, 3, 10.1111/itor.12001

Sundar, 2010, A swarm intelligence approach to the quadratic multiple knapsack problem, 626

Sundar, 2012, A hybrid heuristic for the set covering problem, Oper. Res., 12, 345

Sundareswaran, 2009, Boost converter controller design using queen-bee-assisted GA, IEEE Trans. Ind. Electron., 3, 778, 10.1109/TIE.2008.2006026

Taheri, 2013, A Bee Colony based optimization approach for simultaneous job scheduling and data replication in grid environments, Comput. Oper. Res., 40, 1564, 10.1016/j.cor.2011.11.012

M.F. Tasgetiren, O. Bulut, and M.M. Fadiloglu, A discrete artificial bee colony algorithm for the economic lot scheduling problem, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, 2011.

Tasgetiren, 2013, A discrete artificial bee colony algorithm for the no-idle permutation flowshop scheduling problem with the total tardiness criterion, Appl. Math. Model., 37, 6758, 10.1016/j.apm.2013.02.011

M.F. Tasgetiren, et al., A discrete artificial bee colony algorithm for the permutation flow shop scheduling problem with total flowtime criterion, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, 2010.

Tasgetiren, 2011, A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops, Inf. Sci., 181, 3459, 10.1016/j.ins.2011.04.018

J. Teo, and H.A. Abbass, An Annealing Approach to the Mating-Flight Trajectories in the Marriage in Honey Bees Optimization Algorithm, 2001

Teodorović, 2008, Swarm intelligence systems for transportation engineering: Principles and applications, Transp. Res. Part C: Emerg. Technol., 16, 651, 10.1016/j.trc.2008.03.002

D. Teodorović and M. Dell’Orco. Bee Colony Optimization–A Cooperative Learning Approach to Complex Transportation Problems.

D. Teodorović, et al., Bee colony optimization: principles and applications, in: Proceedings of the 8th Seminar on Neural Network Applications in Electrical Engineering, NEUREL, IEEE, 2006.

D. Teodorovic and M. Šelmic, The BCO algorithm for the p-median problem, in: Proceedings of the XXXIV Serbian Operations Research Conferece, 2007, pp. 417–420.

Tereshko, 2000, Reaction-diffusion model of a honeybee colony's foraging behaviour

Thammano, 2012, SMBO: a self-organizing model of marriage in honey-bee optimization, Expert Syst. Appl., 39, 5576, 10.1016/j.eswa.2011.11.060

Todorovic, 2013, Bee colony optimization algorithm for nurse rostering, Syst. Man Cybern.: Syst. IEEE Trans., 43, 467

Tsai, 2014, Integrating the artificial bee colony and bees algorithm to face constrained optimization problems, Inf. Sci., 258, 80, 10.1016/j.ins.2013.09.015

P. Tsai, et al., Interactive artificial bee colony (iabc) optimization. ISI2008, 2008.

Uehara, 2015, Protein–ligand docking using fitness learning-based artificial bee colony with proximity stimuli, Phys. Chem. Chem. Phys., 17, 16412, 10.1039/C5CP01394A

Vakil-Baghmisheh, 2010, The design of PID controllers for a Gryphon robot using four evolutionary algorithms: a comparative study, Artif. Intell. Rev., 34, 121, 10.1007/s10462-010-9164-z

M. Vakil-Baghmisheh and M. Salim. A modified fast marriage in honey bee optimization algorithm. in: Proceedings of the 5th International Symposium on Telecommunications (IST), IEEE, 2010.

J.S. Wang, C. Liu, and Y. Zhang. Application of improved bee evolutionary genetic algorithm on vehicle routing problem with time window, in: Proceedings of the Control Conference (CCC), 29th Chinese, 2010.

S, Wang, Solving aircraft-sequencing problem based on bee evolutionary genetic algorithm and clustering method, in: Proceedings of the Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC'09, IEEE, 2009.

Wang, 2010, A PAPR reduction method based on artificial bee colony algorithm for OFDM signals, Wirel. Commun. IEEE Trans., 9, 2994, 10.1109/TWC.2010.081610.100047

H.F. Wedde M. Farooq. BeeHive: new ideas for developing routing algorithms inspired by honey bee behavior, in: Handbook of Bioinspired Algorithms and Applications, 2005, pp. 321–339

H.F. Wedde and M. Farooq, The wisdom of the hive applied to mobile ad-hoc networks, in: Proceedings of the Swarm Intelligence Symposium, SIS, IEEE, 2005.

Wedde., 2007, 21

H.F., Wedde, C. Timm, and M. Farooq, BeeHiveAIS: A Simple, Efficient, Scalable and Secure Routing Framework Inspired by Artificial Immune Systems, in: T.P. Runarsson, et al., (Ed.), Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Springer Berlin Heidelberg: Berlin, Heidelberg, 2006, pp. 623–632

L.-P. Wong, M. Low, and C.S. Chong, A bee colony optimization algorithm with the fragmentation state transition rule for traveling salesman problem, in: Proceedings of the 2009 Conference on Innovative Production Machines and Systems (IPROMS), Cardiff University, Cardiff, UK, 2009

L.-P. Wong, M.Y.H. Low, and C.S. Chong. An efficient bee colony optimization algorithm for traveling salesman problem using frequency-based pruning, in: Proceedings of the 7th IEEE International Conference on Industrial Informatics, INDIN, IEEE, 2009.

L.-P. Wong, M.Y.H. Low, and C.S. Chong. A generic bee colony optimization framework for combinatorial optimization problems, in: Proceedings of the Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation (AMS), IEEE, 2010.

L.-P., Wong, et al. Bee colony optimization algorithm with big valley landscape exploitation for job shop scheduling problems, in: Proceedings of the Simulation Conference, WSC, Winter, IEEE, 2008.

Xiongm, 2008, The label-constrained minimum spanning tree problem, 39

Xu, 2010, Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft, Pattern Recognit. Lett., 31, 1759, 10.1016/j.patrec.2009.11.018

Xu, 2010, Chaotic artificial bee colony approach to Uninhabited Combat Air Vehicle (UCAV) path planning, Aerosp. Sci. Technol., 14, 535, 10.1016/j.ast.2010.04.008

C. Xu, et al. A bee swarm genetic algorithm for the optimization of dna encoding, in: Proceedings of the 3rd International Conference on Innovative Computing Information and Control, ICICIC'08, IEEE, 2008.

Xu, 2010, Bio-inspired binary bees algorithm for a two-level distribution optimisation problem, J. Bionic Eng., 7, 161, 10.1016/S1672-6529(09)60205-5

C. Yang, J. Chen, and X. Tu. Algorithm of fast marriage in honey bees optimization and convergence analysis, in: Automation and Logistics, 2007 IEEE International Conference on, 2007.

Yang, 2005, Engineering optimizations via nature-inspired virtual bee algorithms, 317

Yeh, 2011, Solving reliability redundancy allocation problems using an artificial bee colony algorithm, Comput. Oper. Res., 38, 1465, 10.1016/j.cor.2010.10.028

Yeh, 2012, Artificial bee colony algorithm-neural networks for S-system models of biochemical networks approximation, Neural Comput. Appl., 21, 365, 10.1007/s00521-010-0435-z

Yeh, 2011, Approximate reliability function based on wavelet latin hypercube sampling and bee recurrent neural network, Reliab. IEEE Trans., 60, 404, 10.1109/TR.2011.2134190

Zhang, 2010, An artificial bee colony approach for clustering, Expert Syst. Appl., 37, 4761, 10.1016/j.eswa.2009.11.003

Zhu, 2010, Gbest-guided artificial bee colony algorithm for numerical function optimization, Appl. Math. Comput., 217, 3166, 10.1016/j.amc.2010.08.049

Ziarati, 2011, On the performance of bee algorithms for resource-constrained project scheduling problem, Appl. Soft Comput., 11, 3720, 10.1016/j.asoc.2011.02.002