By Franz Rothlauf
Within the box of genetic and evolutionary algorithms (GEAs), a large number of idea and empirical learn has been occupied with operators and attempt difficulties, whereas challenge illustration has usually been taken as given. This ebook breaks with this practice and gives a complete evaluate at the impression of challenge representations on GEA functionality. The publication summarizes latest wisdom concerning challenge representations and describes how easy homes of representations, corresponding to redundancy, scaling, or locality, impact the functionality of GEAs and different heuristic optimization tools. utilizing the constructed thought, representations might be analyzed and designed in a theory-guided topic. The theoretical innovations are used for fixing integer optimization difficulties and community layout difficulties extra successfully. The e-book is written in an easy-readable type and is meant for researchers, practitioners, and scholars who are looking to find out about representations. This moment variation extends the research of the elemental houses of representations and introduces a brand new bankruptcy at the research of direct representations.
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