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Springer Metaheuristics for Combinatorial Optimization 1332

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Description

Explore advanced computational methods in Metaheuristics for Combinatorial Optimization, part of the Advances in Intelligent Systems and Computing series (1332) by Springer. This volume focuses on novel and original metaheuristics designed to solve the cost-balanced traveling salesman problem. Derived from the Metaheuristics Competition at MESS 2018 and the Metaheuristics Summer School, this book includes the top four ranked methodologies. Readers will find a foundational introduction to the traveling salesman problem and its various iterations. This text serves as a specialized resource for researchers working within the fields of metaheuristics and combinatorial optimization, offering practical insights into complex problem solving and algorithmic development.

Key Features

This Springer publication presents original metaheuristics specifically developed for the cost-balanced traveling salesman problem.

The content includes the top four methodologies ranked during the MESS 2018 Metaheuristics Competition.

Readers gain a foundational understanding through an introduction to the traveling salesman problem and all its known variants.

This book is a targeted resource for researchers focusing on metaheuristics and combinatorial optimization.

Part of the Advances in Intelligent Systems and Computing series, volume 1332, providing academic depth for complex problem solving.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 February 2021
Listed Since
25 December 2020

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No barcode data available

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