A Novel Hybrid Method of Global Optimization Based on the Grey Wolf Optimizer and the Bees Algorithm

Karpenko, 2012, Population algorithms for global continuous optimization. Review of new and little-known algorithms, Inf Technol, 7, 32 Kennedy J, Eberhart R. Particle Swarm Optimization. Proceedings of IEEE International Conference on Neural Networks IV 1995; p. 1942-8. Pham D.T. et al. The Bees Algorithm - A Novel Tool for Complex Optimisation Problems. Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006. Elsevier Ltd; 2006; p. 454-9. X-Sh, 2010, A New Metaheuristic Bat-Inspired Algorithm, 65 X-Sh, 2010, Firefly Algorithm. Stochastic Test Functions and Design optimization, International Journal of Bio-Inspired Computation, 2, 78, 10.1504/IJBIC.2010.032124 Yang X-Sh, Deb S. Cuckoo search via Lévy flights. In: Nature & Biologically Inspired Computing. World Congress on; 2009. p. 210–14. Mirjalili, 2014, Grey Wolf Optimizer, In Advances in Engineering Software., 69, 46, 10.1016/j.advengsoft.2013.12.007 Wang X. Hybrid nature-inspired computation method for optimization. Doctoral Dissertation. Helsinki University of Technology, TKK Dissertations, 2009, 161 p. Diveev A.I., Shmalko E.Yu. Evolutionary Computation for Synthesis of Control System for Group of Robots and Optimum Choice of Trajectories for their Movement. Proceedings of the VIII International Conference on Optimization and Applications (OPTIMA-2017) 2-7 October 2017; 2017; 1987:158-163. Raidl, 2006, A Unified View on Hybrid Metaheuristics, 1 Yang X-Sh. Test problems in optimization, arXiv, preprint arXiv:1008.0549; 2010.