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Автор: Anand J. Kulkarni, Efren Mezura-Montes, Yong Wang, Ganesh Krishnasamy
Издательство: Springer
Год: 2021
Страниц: 336
Язык: английский
Формат: pdf (true), epub
Размер: 35.7 MB
Intends to provide a platform for newly developed real-world constrained problems and their state-of-the-art solutions using AI-based metaheuristics. Serves as a platform to explore and exploit the inbuilt characteristics of algorithms for handling constraints. This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book.