Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) - Image 1

£74.99

Springer Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Name: Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Brand: Springer
Price: 74.99 GBP
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Description

Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1489994602
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 28 October 2014
Listed Since: 28 October 2014

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Springer Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

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