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Springer - Evolutionary Algorithms in Engineering Applications

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Description

Explore the practical utility of evolutionary algorithms through this comprehensive volume from Springer. These general-purpose search procedures, based on natural selection and population genetics, offer a simple and easy-to-interface method for solving complex problems. This book focuses specifically on the application of these algorithms and their associated strategies within the field of engineering. Designed for a wide audience, this text serves as a valuable resource for engineers, designers, developers, and researchers across various scientific disciplines. Whether you are looking to extend existing search procedures or implement new strategies in your technical work, this volume provides the necessary foundation. The content is organized into five distinct parts, containing a total of twenty to twenty-five chapters, ensuring a structured approach to learning how these biological mechanisms can be applied to modern engineering challenges.

Key Features

Focuses on the application of evolutionary algorithms and associated strategies specifically for engineering tasks.

Provides a clear understanding of search procedures based on natural selection and population genetics.

Offers a structured learning experience divided into five parts with multiple chapters per section.

Serves as a technical resource for engineers, designers, developers, and researchers in scientific disciplines.

Explains simple and easy-to-interface methods that are easy to extend for various technical uses.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 December 2010
Listed Since
01 October 2010

Barcode

No barcode data available

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