کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1703866 1519413 2014 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An interactive dynamic approach based on hybrid swarm optimization for solving multiobjective programming problem with fuzzy parameters
ترجمه فارسی عنوان
رویکرد پویای تعاملی مبتنی بر بهینه سازی ترکیبی برای حل مسئله برنامه نویسی چند هدفه با پارامترهای فازی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی

Real engineering design problems are generally characterized by the presence of many often conflicting and incommensurable objectives. Naturally, these objectives involve many parameters whose possible values may be assigned by the experts. The aim of this paper is to introduce a hybrid approach combining three optimization techniques, dynamic programming (DP), genetic algorithms and particle swarm optimization (PSO). Our approach integrates the merits of both DP and artificial optimization techniques and it has two characteristic features. Firstly, the proposed algorithm converts fuzzy multiobjective optimization problem to a sequence of a crisp nonlinear programming problems. Secondly, the proposed algorithm uses H-SOA for solving nonlinear programming problem. In which, any complex problem under certain structure can be solved and there is no need for the existence of some properties rather than traditional methods that need some features of the problem such as differentiability and continuity. Finally, with different degree of α we get different α-Pareto optimal solution of the problem. A numerical example is given to illustrate the results developed in this paper.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 38, Issues 7–8, 1 April 2014, Pages 2000–2014
نویسندگان
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