… It is known that memetic algorithms (MAs) [15], hybridizing EAs and local search (LS) …
This paper is concerned with the development of a multiobjective memetic algorithm (MOMA…

… on multiobjective Memetic algorithm (… , Memetic algorithms (MAs) are, perhaps, one of the
most successful stories, having demonstrated better efficacy in dealing with multi-objective (MO…

Introduction Multiple conflicting points of view, which are often taken into account in real life
applications, naturally result in a multiple objective optimization problem (MOP) [848]. In …

… evolutionary algorithms. In this paper, we have proposed a new multiobjective memetic
algorithm … This algorithm is called MOEA/D-DE+PSO. MOEA/D [2] is employed as a global search …

… memetic algorithms relies on the property of global convexity in the search space [l]. Recently,
a further improvement to memetic algorithms … for multiobjective memetic algorithms have al…

In this paper, we propose new memetic algorithms (MAs) for the multiobjective flexible job
shop scheduling problem (MO-FJSP) with the objectives to minimize the makespan, total …

… multiobjective optimization problems (IMOPs). The state-of-theart evolutionary algorithms (…
searches into an existing IMOEA, and propose a memetic algorithm (MA) to tackle IMOPs. At …

… resulting strategy an adaptive memetic algorithm. Adaptation may include a … multiple-objective
metaheuristics on the bi-objective set covering problem and the pareto memetic algorithm. …

… Synergetic combination of these algorithms is one of the potential … memetic computing as
the synergy of a genetic algorithm, differential evolution, and estimation of distribution algorithm…

… In this chapter, a memetic algorithm is presented for dynamic multi-objective optimization.
Currently, … A memetic algorithm is proposed to solve DMO problems and the results on the test …