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Author Zhang, Zhenxing, author. Hydrologist, University of Illinois at Urbana-Champaign, USA.

Title New optimization algorithms and its applications : atom-based, ecosystem-based and economics-based / edited by Weiguo Zhao, Liying Wang, Zhenxing Zhang.

Publication Info. Amsterdam : Elsevier, 2021.

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 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource
text rdacontent
computer rdamedia
online resource rdacarrier
Note <p>1. Introduction 2. Atom Search Optimization Algorithm 3. Engineering Applications of Atom Search Optimization Algorithm 4. Artificial Ecosystem-based Optimization Algorithm 5. Engineering Applications of Artificial Ecosystem-Based Optimization Algorithm 6. Supply-Demand-based Optimization 7. Engineering Applications of Supply-Demand-based Optimization</p> <p>Appendix A. Benchmark Functions B. Engineering Design Problems C. Codes in MATLAB</p>
Description based on CIP data; resource not viewed.
Summary New Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new optimization algorithms - an Atom Search Optimization (ASO) algorithm, an Artificial Ecosystem-Based Optimization algorithm (AEO), a Supply Demand Based Optimization (SDO), and their applications within engineering. These algorithms are based on benchmark functions and typical engineering cases. The book describes the algorithms in detail and demonstrates how to use them in engineering. The title verifies the performance of the algorithms presented, simulation results are given, and MATLABª codes are provided for the methods described. Over seven chapters, the book introduces ASO, AEO and SDO, and presents benchmark functions, engineering problems, and coding. This volume offers technicians and researchers engaged in computer and intelligent algorithm work and engineering with one source of information on novel optimization algorithms.
Subject Mathematical optimization.
Optimisation mathématique.
Mathematical optimization
Added Author Zhao, Weiguo, editor.
Wang, Liying, editor.
Zhang, Zhenxing, editor.
Other Form: Print version: 9780323909419
ISBN 0323909426
9780323909419 (electronic bk.)
0323909418 (electronic bk.)
9780323909426 (electronic bk.)
Standard No. UKMGB 020202754

 
    
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