£121.09

Springer Metaheuristics for Combinatorial Optimization 1332

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Description

Explore advanced solutions for complex computational challenges with Metaheuristics for Combinatorial Optimization, part of the Advances in Intelligent Systems and Computing series. This book focuses on novel and original metaheuristics designed specifically to address the cost-balanced traveling salesman problem. Derived from the Metaheuristics Competition at the MESS 2018 Metaheuristics Summer School, this volume includes the top four ranked methodologies. Readers will find a comprehensive introduction to the traveling salesman problem and its various iterations, making it a valuable resource for academic and professional study. This publication serves as a specialized tool for researchers working in the fields of metaheuristics and combinatorial optimization. By studying these high-ranking methodologies, you can gain insights into complex problem solving and modern algorithmic approaches to optimization.

Key Features

Includes top four ranked methodologies from the MESS 2018 Metaheuristics Summer School competition.

Provides original metaheuristics specifically developed for the cost-balanced traveling salesman problem.

Offers a foundational introduction to the traveling salesman problem and all its known variants.

Designed for researchers specializing in metaheuristics and combinatorial optimization areas.

Part of the Advances in Intelligent Systems and Computing series (Volume 1332) by Springer.

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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