£128.12

Springer Introduction to Evolutionary Algorithms Book

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Description

Expand your knowledge of advanced computing with Introduction to Evolutionary Algorithms from Springer. This text provides a comprehensive and up-to-date treatment of evolutionary algorithms, making it a valuable resource for those working in computer science, operations research, and industrial engineering. As these algorithms become more important across disciplines like electrical engineering, economics, and social science, having a clear guide is essential. This book explores essential topics including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems. Instead of just focusing on theory, the text demonstrates how to model real-world problems through various applications. Whether you are studying AI and machine learning or applying decision engineering to complex industrial tasks, this book offers the insights needed to understand and implement these powerful computational methods.

Key Features

Comprehensive coverage of evolutionary algorithms including genetic algorithms and differential evolution for diverse computing needs.

Explores modern topics like swarm intelligence and artificial immune systems to expand your technical expertise.

Provides practical application examples to show how to model complex problems within various scientific disciplines.

Supports multi-disciplinary learning across fields such as operations research, computer science, and social science.

Offers an up-to-date treatment of decision engineering suitable for students and professionals in engineering and economics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 September 2012
Listed Since
13 July 2012

Barcode

No barcode data available

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