Volume 8, Issue 1 (1-2018)                   2018, 8(1): 53-75 | Back to browse issues page

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Shahrouzi M, Farah-Abadi H. A FAST FUZZY-TUNED MULTI-OBJECTIVE OPTIMIZATION FOR SIZING PROBLEMS. International Journal of Optimization in Civil Engineering. 2018; 8 (1) :53-75
URL: http://ijoce.iust.ac.ir/article-1-325-en.html
Abstract:   (2287 Views)

The most recent approaches of multi-objective optimization constitute application of meta-heuristic algorithms for which, parameter tuning is still a challenge. The present work hybridizes swarm intelligence with fuzzy operators to extend crisp values of the main control parameters into especial fuzzy sets that are constructed based on a number of prescribed facts. Such parameter-less particle swarm optimization is employed as the core of a multi-objective optimization framework with a repository to save Pareto solutions. The proposed method is tested on a variety of benchmark functions and structural sizing examples. Results show that it can provide Pareto front by lower computational time in competition with some other popular multi-objective algorithms.

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Type of Study: Research | Subject: Optimal design
Received: 2017/07/1 | Accepted: 2017/07/1 | Published: 2017/07/1

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