Memetic algorithms are based on the smart orchestration of global (population-based) and local (trajectorybased) techniques, using an algorithmic scheme in ...
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Memetic algorithms are techniques that orchestrate the interplay between population-based and trajectory-based algorithmic components. In particular, some ...
A memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm (GA) or more general evolutionary ...
Motivation. Memetic Algorithms (MAs) are hybrid evolutionary search methods that incorporate local search into the search process of an evolutionary algorithm.
This chapter presents an overview of hybridization mechanisms in evolutionary algorithms, aimed to introducing problem knowledge in the optimization ...
A memetic algorithm is defined as an algorithmic hybridization of a population-based method, and one or more local search techniques and/or problem-specific ...
This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business ...
Memetic evolutionary algorithms include local search techniques into the random search process of evolutionary algorithms. This kind of hybridization has ...
C. Blum, A. Roli: Metaheuristics in combinatorial optimization: Overview and conceptual comparison, ACM Comput. Surv. 35(3), 268–308 (2003)
A hybrid decomposition variable neighborhood memetic algorithm (HDVMA) is proposed with the objectives of minimizing the makespan, maximum factory load, and ...