£91.67

Springer Cultural Algorithms: Recent Advances - Optimization Book

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Description

Explore the latest developments in numerical optimization with Cultural Algorithms: Recent Advances. Published by Springer, this book provides a comprehensive look at meta-heuristic techniques inspired by bio-cultural evolutionary theory. It examines how both vertical and horizontal learning behaviors are modeled to solve complex problems. The text is structured to guide readers from the fundamental basics of optimization through the theoretical backgrounds of Cultural Algorithms. It covers various frameworks, different algorithmic variants, and hybridized versions that combine these methods with other meta-heuristic and search techniques. Designed for those studying computer science, AI, and machine learning, this volume details how these algorithms are applied across different branches of science. Whether you are researching search techniques or looking for advanced optimization methods, this book serves as a detailed resource for understanding modern computational approaches.

Key Features

Covers the general framework and different variants of Cultural Algorithms for advanced research.

Explains meta-heuristic numerical optimization techniques inspired by bio-cultural evolutionary theory.

Includes detailed discussions on hybridized versions combined with other search techniques.

Provides a solid foundation with well-briefed basics of optimization and theoretical backgrounds.

Explores practical applications of these algorithms across various branches of science.

Models both vertical and horizontal learning behaviors within the optimization process.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 November 2022
Listed Since
03 June 2022

Barcode

No barcode data available

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