A Micro-Genetic Algorithm for Multiobjective Optimization

In this paper, we propose a multiobjective optimization approach based on a micro genetic algorithm (micro-GA) which is a genetic algorithm with a very small population (four individuals were used in our experiment) and a reinitialization process. We use three forms of elitism and a memory to genera...

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Bibliographische Detailangaben

Hauptverfasser:	Coello Coello Coello, Carlos A., Toscano Pulido, Gregorio
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Adaptive Grid Applied sciences Crossover Rate Exact sciences and technology External Memory Multiobjective Optimization Operational research and scientific management Operational research. Management science Optimization. Search problems Pareto Front
Online-Zugang:	Volltext
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