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Academic Press Multi-Objective Combinatorial Optimization Book

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Description

Explore the latest advancements in multi-objective combinatorial optimization with this comprehensive text from Academic Press. This book examines recent achievements in the field, providing a deep look into how various methods can be applied to complex problems in both theory and practice. Readers will find detailed discussions on a wide range of solution methods, including metaheuristic, mathematical programming, heuristic, hyper heuristic, and hybrid approaches. By covering these diverse methodologies, the text offers a versatile resource for tackling optimization issues across multiple disciplines. Because combinatorial optimization problems are found in many sectors, this book serves as a valuable reference for professionals and students. The content is applicable to fields such as operations research, engineering, biological sciences, and computer science. Whether you are looking to improve existing models or understand new algorithmic developments, this book provides the technical foundation needed to navigate modern optimization challenges.

Key Features

Covers diverse solution methods including metaheuristic, mathematical programming, and hybrid approaches for complex problem solving.

Provides practical and theoretical insights into various multi-objective combinatorial optimization issues.

Applicable to multiple professional fields such as operations research, engineering, and computer science.

Explores advanced techniques like hyper heuristic and heuristic methods for optimization tasks.

Serves as a technical resource for biological sciences and other research-heavy disciplines.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 February 2022
Listed Since
25 August 2021

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