Biogeography-Based Optimization: Algorithms and Applications (Hardcover, 1st ed. 2019)

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This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors' recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

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Product Description

This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors' recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Release date

October 2018

Availability

Expected to ship within 12 - 17 working days

First published

2019

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

221

Edition

1st ed. 2019

ISBN-13

978-981-13-2585-4

Barcode

9789811325854

Categories

LSN

981-13-2585-5



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