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Incorporating nature-inspired paradi...

Khosrow-Pour, Mehdi, (1951-)

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Incorporating nature-inspired paradigms in computational applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Incorporating nature-inspired paradigms in computational applications/ Mehdi Khosrow-Pour, editor.
其他作者:	Khosrow-Pour, Mehdi,
出版者:	Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:	1 online resource (xiii, 385 p.)
內容註:	Chapter 1. Application of natural-inspired paradigms on system identification: exploring the multivariable linear time variant case -- Chapter 2. Comprehensive learning particle swarm optimization for structural system identification -- Chapter 3. Finding optimal input values for desired target output by using particle swarm optimization algorithm within probabilistic models -- Chapter 4. Multi-thresholded histogram equalization based on parameterless artificial bee colony -- Chapter 5. Biogeographic computation as information processing in ecosystems -- Chapter 6. Evolutionary approaches to test data generation for object-oriented software: overview of techniques and tools -- Chapter 7. Evolutionary control systems -- Chapter 8. Cloud approach for the medical information system: MIS on cloud.
標題:	Natural computation. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5020-4
ISBN:	9781522550211 (ebook)

Incorporating nature-inspired paradigms in computational applications
Incorporating nature-inspired paradigms in computational applications[electronic resource] /Mehdi Khosrow-Pour, editor. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xiii, 385 p.)

Includes bibliographical references and index.

Chapter 1. Application of natural-inspired paradigms on system identification: exploring the multivariable linear time variant case -- Chapter 2. Comprehensive learning particle swarm optimization for structural system identification -- Chapter 3. Finding optimal input values for desired target output by using particle swarm optimization algorithm within probabilistic models -- Chapter 4. Multi-thresholded histogram equalization based on parameterless artificial bee colony -- Chapter 5. Biogeographic computation as information processing in ecosystems -- Chapter 6. Evolutionary approaches to test data generation for object-oriented software: overview of techniques and tools -- Chapter 7. Evolutionary control systems -- Chapter 8. Cloud approach for the medical information system: MIS on cloud.

Restricted to subscribers or individual electronic text purchasers.

"This book provides a comprehensive view of all aspects of natural computing with emphasis on its main branches. It explores all main areas of natural computing, namely, nature-inspired computing, methods to computationally synthesize natural phenomena, and novel computing paradigms based on natural materials"--

ISBN: 9781522550211 (ebook)Subjects--Topical Terms:

1002233
Natural computation.

LC Class. No.: QA76.9.N37 / I53 2018e

Dewey Class. No.: 006.3/8

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506 $a Restricted to subscribers or individual electronic text purchasers.
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