£96.31

Springer Advances in Multi-Objective Nature Inspired Computing

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Description

Explore the latest developments in computational intelligence with this specialized volume from Springer. This book provides a comprehensive collection of research focused on using nature inspired metaheuristics to solve complex multi-objective combinatorial optimization problems. Designed to serve as a state-of-the-art overview, this text helps bridge the gap between theory and application. It is an essential resource for researchers and professionals working within operations research, engineering, and computer science. By presenting modern methodologies and recent breakthroughs, the book aims to motivate further investigation into how nature inspired algorithms can tackle multifaceted optimization challenges. Whether you are looking for a deep dive into current trends or a foundational reference for your next research project, this volume offers the technical insights needed to advance your work in the field of AI and machine learning.

Key Features

Covers state-of-the-art developments in nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

Serves as a valuable reference for researchers in the fields of computer science, engineering, and operations research.

Provides a comprehensive overview of recent contributions to the Studies in Computational Intelligence series.

Designed to motivate new research directions in the application of nature inspired computing methods.

Offers technical insights into solving complex multi-objective problems through advanced computational intelligence.

Product Specifications

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

Barcode

No barcode data available

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