In the sector of genetic and evolutionary algorithms (GEAs), a large number of idea and empirical research has been all for operators and try out difficulties, whereas challenge illustration has frequently been taken as given. This publication breaks with this custom and offers a accomplished evaluate at the effect of challenge representations on GEA functionality. The ebook summarizes current wisdom concerning challenge representations and describes how easy houses of representations, similar to redundancy, scaling, or locality, impact the functionality of GEAs and different heuristic optimization equipment. utilizing the built concept, representations could be analyzed and designed in a theory-guided subject. The theoretical innovations are used for fixing integer optimization difficulties and community layout difficulties extra successfully. The booklet is written in an easy-readable sort and is meant for researchers, practitioners, and scholars who are looking to know about representations. This moment version extends the research of the elemental homes of representations and introduces a brand new bankruptcy at the research of direct representations.
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