Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system

Zhoua, 2011, Multiobjective evolutionary algorithms: a survey of the state of the art, Swarm and Evolutionary Computation, 1, 32, 10.1016/j.swevo.2011.03.001 Nariman-Zadeh, 2010, Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA), Eng. Appl. Artif. Intell., 23, 543, 10.1016/j.engappai.2009.08.008 Mallipeddi, 2011, Differential evolution algorithm with ensemble of parameters and mutation strategies, Appl. Soft Comput., 11, 1679, 10.1016/j.asoc.2010.04.024 Robič, 2005, 520 Thomsen, 2004, Multimodal optimization using crowding-based differential evolution, vol. 2, 1382 Qian, 2008, Adaptive differential evolution algorithm for multiobjective optimization problems, Appl. Math. Comput., 201, 431 Wang, 2010, Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure, Soft Comput, 14, 193, 10.1007/s00500-008-0394-9 Chen, 2014, Multi-objective differential evolution with ranking-based mutation operator and its application in chemical process optimization, Chemometr. Intell. Lab. Syst., 136, 85, 10.1016/j.chemolab.2014.05.007 Gong, 2013, Differential evolution with ranking-based mutation operators, IEEE Transactions on Cybernetics, 43, 2066, 10.1109/TCYB.2013.2239988 Gholaminezhad, 2015, A multi-objective differential evolution approach based on e-elimination uniform-diversity for mechanism design, Struct. Multidiscip. Optim., 52, 861, 10.1007/s00158-015-1275-3 Singh, 2018, Multiobjective differential evolution using homeostasis based mutation for application in software cost estimation, Appl. Intell., 48, 628, 10.1007/s10489-017-0980-6 Wang, 2018, Multiobjective differential evolution with personal archive and biased self-adaptive mutation selection, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1 Qin, 2010, Multi-objective differential evolution with adaptive Cauchy mutation for short-term multi-objective optimal hydro-thermal scheduling, Energy Convers. Manag., 51, 788, 10.1016/j.enconman.2009.10.036 Tian, 2019, Optimization study of line planning for high speed railway based on an improved multi-objective differential evolution algorithm, IEEE Access, 7, 137731, 10.1109/ACCESS.2019.2939483 Tian, 2019, Performance-driven adaptive differential evolution with neighborhood topology for numerical optimization, Knowl. Base Syst., 105008 Al-Dabbagh, 2018, Algorithmic design issues in adaptive differential evolution schemes: review and taxonomy, Swarm and Evolutionary Computation, 43, 284, 10.1016/j.swevo.2018.03.008 Zhang, 2009, JADE: adaptive differential evolution with optional external archive, IEEE Trans. Evol. Comput., 13, 945, 10.1109/TEVC.2009.2014613 Islam, 2012, An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42, 482, 10.1109/TSMCB.2011.2167966 Das, 2009, Differential evolution using a neighborhood-based mutation operator, IEEE Trans. Evol. Comput., 13, 526, 10.1109/TEVC.2008.2009457 Ochoa, 2015, Differential evolution with dynamic adaptation of parameters for the optimization of fuzzy controllers, 49 Ochoa, 2018, 85 Salehpour, 2017, A new adaptive differential evolution optimization algorithm based on fuzzy inference system, Engineering Science and Technology, an International Journal, 20, 587, 10.1016/j.jestch.2017.01.004 Deb, 2002, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Trans. Evol. Comput., 6, 182, 10.1109/4235.996017 Zhang, 2009 Mahmoodabadi, 2013, A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model, Appl. Soft Comput., 13, 2577, 10.1016/j.asoc.2012.11.028 Kukkonen, 2005 Liu, 2012, A novel clustering-based differential evolution with 2 multi-parent crossovers for global optimization, Appl. Soft Comput., 12, 663, 10.1016/j.asoc.2011.09.020 Zhang, 2013, Distributed memetic differential evolution with the synergy of Lamarckian and Baldwinian learning, Appl. Soft Comput., 13, 2947, 10.1016/j.asoc.2012.02.028 Mamdani, 1975, An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man Mach. Stud., 7, 1, 10.1016/S0020-7373(75)80002-2 Chih-Ming, 2009, Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization, 209 Huang, 2009, Multi-objective optimization using self-adaptive differential evolution algorithm, 190 Kukkonen, 2009, Performance assessment of Generalized Differential Evolution 3 with a given set of constrained multi-objective test problems, 1943 Liu, 2009, The multiobjective evolutionary algorithm based on determined weight and sub-regional search, 1928 Liu, 2009, Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances, 2913 Qu, 2009, Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster, 2934 Sindhya, 2009, Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems, 2919 Song, 2009, An orthogonal multi-objective evolutionary algorithm with lower-dimensional crossover, 1959 Tiwari, 2009, Performance assessment of the hybrid archive-based micro genetic algorithm (AMGA) on the CEC09 test problems, 1935 Tseng, 2009, Multiple trajectory search for unconstrained/constrained multi-objective optimization Wang, 2009, A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design, 2927 Zamuda, 2009, Differential evolution with self-adaptation and local search for constrained multiobjective optimization, 195 Zhang, 2009, The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances, 203 Akbari, 2012, Multi-objective bee swarm optimization, Int. J. Innov. Comput, 8, 715 Rao, 2014, A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems, Int. J. Ind. Eng. Comput., 5, 1