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World Scientific Publishing Company World Scientific Applications of Multi-objective Evolutionary Algorithms

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Description

Improve your approach to complex design challenges with Applications of Multi-objective Evolutionary Algorithms. This volume from the Advances in Natural Computation series provides an extensive look at multi-objective problems across many different disciplines. By examining statistical solutions through multi-objective evolutionary algorithms (MOEAs), readers gain a better understanding of how to apply these methods to high-dimensional, real-world design applications. This book serves as a practical guide for researchers and practitioners. It contains a large collection of MOEA applications contributed by various researchers, offering the specific algorithmic direction needed to reach successful results in your own problem domain. Whether you are working in computer science, AI, or machine learning, this resource helps bridge the gap between theoretical algorithms and practical, real-world implementation.

Key Features

Explore a wide variety of multi-objective problems across diverse scientific and technical disciplines.

Learn to implement statistical solutions using multi-objective evolutionary algorithms (MOEAs) for better results.

Gain practical knowledge for solving high-dimensional real-world design applications effectively.

Access a large collection of MOEA applications contributed by multiple specialized researchers.

Receive detailed algorithmic direction to help achieve successful outcomes in your specific problem domain.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 December 2004
Listed Since
05 February 2007

Barcode

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