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Springer - Evolutionary Algorithms in Engineering Applications

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Description

Explore the practical implementation of evolutionary algorithms in this specialized volume from Springer. These search procedures, based on natural selection and population genetics, offer a simple and extensible approach to complex problem-solving. This book focuses on the application of evolutionary algorithms and associated strategies specifically within the field of engineering. Organized into five distinct parts containing multiple chapters, the text provides a structured look at how these mechanisms function in real-world scenarios. It serves as a valuable resource for engineers, designers, developers, and researchers across any scientific discipline looking to apply evolutionary strategies to their technical workflows.

Key Features

This Springer publication focuses on the application of evolutionary algorithms and associated strategies in engineering.

The text covers search procedures based on mechanisms of natural selection and population genetics.

The volume is organized into five parts with four or five chapters in each section to provide structured learning.

Designed for engineers, designers, developers, and researchers across various scientific disciplines.

The content highlights the simple and easy to extend nature of evolutionary algorithms for technical use.

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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