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chaos-embedded meta-heuristic algorithms for optimal design of truss structures
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نویسنده
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yousefpoor h. ,kaveh a.
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منبع
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scientia iranica - 2022 - دوره : 29 - شماره : 6-A - صفحه:2868 -2885
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چکیده
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The success of chaos-embedded meta-heuristic algorithms mainly results from the satisfactory tradeo between exploration and exploitation phases in meta-heuristics. comparison of optimization results with algorithms in standard mode and embedded chaos indicates the significant improvement in the quality of the meta-heuristic algorithms, thus reducing the weight of truss structures. four chaos meta-heuristic algorithms with logistic, tenet, and gaussian maps are considered to improve the results. despite truss optimization being extremely nonlinear and non-convex and often having several local optima issues, the use of dierent chaotic maps allows avoiding local optima and achieving global optimum.
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کلیدواژه
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Chaotic map ,Cross-section ,optimization ,Truss structures ,Meta-heuristic ,algorithms
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آدرس
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islamic azad university, science and research branch, department of civil engineering, iran, iran university of science and technology, department of civil engineering, iran
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پست الکترونیکی
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alikaveh@iust.ac.ir
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Authors
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