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Multiobjective fuzzy optimization with random variables in a mix of fuzzy and probabilistic environment

机译:模糊与概率环境混合的随机变量多目标模糊优化

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摘要

The fuzzy /spl lambda/-formulation is used to solve multiobjective optimization problems in which the design variables are random, the constraints as a whole has a fuzzy probability or the constraints are mixed of deterministic, stochastic and fuzzy constraints. The fuzzy optimization strategy helps one to get the highest degree of satisfaction in reaching an optimum solution. The idea of expected value and the chance constrained programming technique allows one to convert a stochastic optimization problem into its equal deterministic form. The design of a three-bar truss illustrates the proposed design optimization in detail and the design of a machine-tool spindle express the comprehensive work of this technique. Results show that the proposed formulation and method can generate a natural, well-behaved, and reliable design.
机译:模糊/ SPLλ/ --Formformulation用于解决多目标优化问题,其中设计变量随机,整个约束具有模糊概率,或者约束与确定性,随机和模糊约束混合。模糊优化策略有助于一个人在达到最佳解决方案时获得最高程度的满足感。预期值和机会约束编程技术的想法允许人们将随机优化问题转换为其等于确定性形式。三条桁架的设计说明了详细设计优化,机床主轴的设计表达了这种技术的综合工作。结果表明,所提出的配方和方法可以产生自然,良好的表现和可靠的设计。

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