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Springer Advances in Multi-Objective Nature Inspired Computing

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Description

This Springer publication provides a comprehensive collection of contributions focused on using nature inspired metaheuristics to solve multi-objective combinatorial optimization problems. As part of the Studies in Computational Intelligence series (volume 272), this book offers an overview of state-of-the-art developments in the field. Designed to motivate researchers in computer science, engineering, and operations research, this text serves as a valuable reference for those studying advanced computational methods. It explores the application of metaheuristics to complex optimization challenges, making it a necessary resource for academic and professional research in artificial intelligence and machine learning.

Key Features

Published by Springer as part of the Studies in Computational Intelligence series, volume 272.

Covers state-of-the-art developments in nature inspired metaheuristics for optimization.

Provides a technical overview for researchers in computer science, engineering, and operations research.

Focuses on solving multi-objective combinatorial optimization problems through advanced computing methods.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 February 2010
Listed Since
13 November 2009

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