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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Metaheuristics for Finding Multiple Solutions (Hardcover, 1st ed. 2021)
Loot Price: R4,783
Discovery Miles 47 830
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Metaheuristics for Finding Multiple Solutions (Hardcover, 1st ed. 2021)
Series: Natural Computing Series
Expected to ship within 10 - 15 working days
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This book presents the latest trends and developments in multimodal
optimization and niching techniques. Most existing optimization
methods are designed for locating a single global solution.
However, in real-world settings, many problems are "multimodal" by
nature, i.e., multiple satisfactory solutions exist. It may be
desirable to locate several such solutions before deciding which
one to use. Multimodal optimization has been the subject of intense
study in the field of population-based meta-heuristic algorithms,
e.g., evolutionary algorithms (EAs), for the past few decades.
These multimodal optimization techniques are commonly referred to
as "niching" methods, because of the nature-inspired "niching"
effect that is induced to the solution population targeting at
multiple optima. Many niching methods have been developed in the EA
community. Some classic examples include crowding, fitness sharing,
clearing, derating, restricted tournament selection, speciation,
etc. Nevertheless, applying these niching methods to real-world
multimodal problems often encounters significant challenges. To
facilitate the advance of niching methods in facing these
challenges, this edited book highlights the latest developments in
niching methods. The included chapters touch on algorithmic
improvements and developments, representation, and visualization
issues, as well as new research directions, such as preference
incorporation in decision making and new application areas. This
edited book is a first of this kind specifically on the topic of
niching techniques. This book will serve as a valuable reference
book both for researchers and practitioners. Although chapters are
written in a mutually independent way, Chapter 1 will help novice
readers get an overview of the field. It describes the development
of the field and its current state and provides a comparative
analysis of the IEEE CEC and ACM GECCO niching competitions of
recent years, followed by a collection of open research questions
and possible research directions that may be tackled in the future.
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