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Recent developments of metaheuristics

Farouk Yalaoui 1 El-Ghazali Talbi 2, 3 Lionel Amodeo 1
3 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.
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Submitted on : Monday, December 4, 2017 - 11:58:04 AM
Last modification on : Wednesday, January 26, 2022 - 11:02:17 AM

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Farouk Yalaoui, El-Ghazali Talbi, Lionel Amodeo. Recent developments of metaheuristics. Springer, 62, pp.1-496, 2017, Operations Research/Computer Science Interfaces Series, 978-3-319-58252-8. ⟨10.1007/978-3-319-58253-5⟩. ⟨hal-01654699⟩



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