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Elsevier Handbook of Metaheuristic Algorithms - Academic Press

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Description

The Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a comprehensive introduction to metaheuristic algorithms. Published by Elsevier and Academic Press, this text builds from basic ideas to advanced solutions, addressing the gap between theory and implementation. While source code for various algorithms is available online, this book provides the necessary expanded knowledge to understand different coding styles and explanations. It serves as a vital resource for students and researchers looking to build an integrated perspective on metaheuristics and unsupervised algorithms for artificial intelligence, covering uncertainty, computational techniques, and decision intelligence.

Key Features

This Elsevier publication provides a ground-up introduction to metaheuristic algorithms and their advanced solutions.

The text bridges the gap between theory and implementation by addressing varying coding styles found in online source code.

It helps students and researchers develop an integrated perspective on metaheuristic and unsupervised algorithms.

The content covers essential topics including uncertainty, computational techniques, and decision intelligence.

Academic Press provides this specialized resource for those studying artificial intelligence and operational research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 June 2023
Listed Since
20 October 2022

Barcode

No barcode data available

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