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2017 | OriginalPaper | Chapter

13. Enhanced Colliding Bodies Optimization

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Author: A. Kaveh

Publisher: Springer International Publishing

Published in: Advances in Metaheuristic Algorithms for Optimal Design of Structures

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Abstract

Colliding bodies optimization (CBO) was employed for size optimization of skeletal structures in Chap. 7. In this chapter, the enhanced colliding bodies optimization (ECBO) is presented that utilizes memory to save some historically best solution and uses a random procedure to avoid local optima which is also applied to skeletal structures [1, 2]. The capability of the CBO and ECBO is compared through three trusses and two frame structures. The design constraints of steel frames are imposed according to the provisions of LRFD–AISC.

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Kaveh A, Ilchi Ghazaan M (2015) A comparative study of CBO and ECBO for optimal design of skeletal structures. Comput Struct 153:137–147 CrossRef

Kaveh A, Ilchi Ghazaan M (2014) Enhanced colliding bodies optimization for design problems with continuous and discrete variables. Adv Eng Softw 77:66–75 CrossRef

Kaveh A, Mahdavi VR (2014) Colliding bodies optimization method for optimum design of truss structures with continuous variables. Adv Eng Softw 70:1–12 CrossRef

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14.

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Kaveh A, Talatahari S (2010) A discrete Big Bang-Big Crunch algorithm for optimal design of skeletal structures. Asian J Civil Eng 11(1):103–122

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Kaveh A, Talatahari S (2009) Hybrid algorithm of harmony search, particle swarm and ant colony for structural design optimization. Stud Comput Intell 239:159–198

19.

Kaveh A, Talatahari S (2012) Charged system search for optimal design of planar frame structures. Appl Soft Comput 12:382–393 CrossRef

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Title

Enhanced Colliding Bodies Optimization

Book

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Print ISBN: 978-3-319-46172-4

Electronic ISBN: 978-3-319-46173-1

https://doi.org/10.1007/978-3-319-46173-1

DOI

https://doi.org/10.1007/978-3-319-46173-1_13

Author:

A. Kaveh

Publisher

Springer International Publishing

Sequence number

Chapter number

Chapter 13

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