On efficiency of some meta-huristic optimization algorithm in shape-measure method
Publish place: The first national conference on meta-heuristic algorithms and their applications in science and engineering
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
MHAA01_030
تاریخ نمایه سازی: 17 اسفند 1393
Abstract:
Shape-Measure technique for solving optimal shape design problems in Cartesian coordinates, needs to apply a standard minimization algorithms. In this paper, we deal with the more suitable standard minimization technique to identify the optimal solution in shape-measure method. Our test example is sample problem which is governed by an elliptic boundary problem. Here, three famous metaheuristic algorithms: Differential Evolution (DE), Particle Swarm Optimization (PSO) and Teaching Learning Based Optimization (TLBO), are examined for this purpose, then the results are compared with the obtained results of six other standard minimization algorithms to find out the best suitable algorithm between them.
Keywords:
Particle Swarm Optimization , elliptic equation , Radon measure , optimal shape , Differential Evolution Optimization , Teaching Learning Based Optimization
Authors
Alireza Fakharzadeh Jahromi۱
Dep. Of math, faculty of basic sciences, Shiraz university of technology
Mina Goodarzi
Dep. Of math, faculty of basic sciences, Shiraz university of technology
Mojtaba Karimyar Jahromi
Dep. Of math, Jahrom university
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