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MODEL: Multi-objective differential evolution with leadership enhancement
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
Differential Evolution (DE) has been successfully used to solve various complex optimization problems; however, it can suffer depending of the complexity of the problem from slow convergence due to its iterative process. The use of the leadership concept was efficiently utilized for the acceleration of Particle Swarm Optimization (PSO) in a single-objective space. The generalization of the leadership concept in multi-objective space is not trivial. Furthermore, despite the efficiency of using
doi:10.1109/cec.2014.6900592
dblp:conf/cec/BourennaniRN14
fatcat:m22cdagfjjhb5o2zdq46cgzpji