Title Metaheuristics for combinatorial optimization / Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo, editors

Published Cham : Springer, [2021]

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Description 1 online resource (68 pages) Series Advances in intelligent systems and computing ; volume 1336 Advances in intelligent systems and computing ; 1336. Summary This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants. The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem Bibliography Includes bibliographical references and index Notes Print version record Subject Metaheuristics. Combinatorial optimization. Traveling salesman problem. Combinatorial optimization Metaheuristics Traveling salesman problem Genre/Form Electronic books Form Electronic book Author Greco, Salvatore, editor Pavone, Mario (Professor of Computer Science), editor. Talbi, El-Ghazali, 1965- editor. Vigo, Daniele, editor ISBN 9783030685201 3030685209

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