The basic idea behind evolutionary algorithm is to simulate the natural process of evolution to achieve systems that are able to improve themselves by applying three main genetic operations called recombination, mutation and selection. Through these conceptually simple operations, evolutionary algorithms are able to exhibit very attractive properties such as self-organization, adaptation, optimization and creation. Due to these properties, evolutionary algorithms have been widely applied in the fields ranging from the basic research on biological intelligence such as artificial life  to real word applications such as design optimization .
KeywordsGenetic Algorithm Evolutionary Algorithm Pareto Front Strategy Parameter Approximate Model
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