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α-Pareto optimal solutions for fuzzy multiple objective optimization problems using MATLAB

机译:使用MATLAB的模糊多目标优化问题的α-Pareto最优解

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© 2018 AMSE Press. All rights reserved.I present a computational view to generate α-Pareto optimal solutions for the fuzzy multiple objective optimization problems based on the α-Level sets method and the weighting method using MATLAB® (R2014a) . In this paper, two MATLAB codes based on two hybrid algorithms for solving linear multiple objective programming problems involving fuzzy parameters in: (1) The right hand side of the constraints, and (2) The objective functions are introduced. These fuzzy parameters are characterized as fuzzy numbers. For such problems, the α-Pareto optimality is introduced by extending the ordinary Pareto optimality on the basis of the α-Level sets of fuzzy numbers. Also, two numerical examples are given to clarify the main results developed in the paper. The hand solutions of the numerical examples and the solutions by the MATLAB codes are identical.
机译:© 2018 AMSE 出版社。保留所有权利。我提出了一个计算视图,用于基于α级集合方法和使用 MATLAB® (R2014a) 的加权方法为模糊多目标优化问题生成α帕累托最优解。本文介绍了两种基于两种混合算法的MATLAB代码,用于求解涉及模糊参数的线性多目标规划问题:(1)约束的右侧,以及(2)目标函数。这些模糊参数的特征是模糊数。对于此类问题,通过基于α级模糊数集扩展普通帕累托最优性来引入α帕累托最优性。此外,还给出了两个数值算例来阐明论文中的主要结果。数值示例的手动解和MATLAB代码的解是相同的。

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