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Adaptive hierarchical multi-objective fuzzy optimization for circuit design
1993 IEEE International Symposium on Circuits and Systems, 2002The outline of a methodology for adaptive hierarchical multiobjective function optimization in a fuzzy sense is presented, suitable for circuit optimization and able to mimic to some extent the designer's interactive circuit design process. It is an effort to generalize and go beyond the Taguchi methodology of variability-then-target optimization with ...
B. R. S. Rodrigues, M. A. Styblinski
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Fuzzy Optimization with Multi-Objective Evolutionary Algorithms: a Case Study
2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2007This paper outlines a real-world industrial problem for product-mix selection involving 8 decision variables and 21 constraints with fuzzy coefficients. On one hand, a multi-objective optimization approach to solve the fuzzy problem is proposed. Modified S-curve membership functions are considered.
G. Sanchez, F. Jimenez, P. Vasant
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Improved Genetic Algorithm of Multi-objective Structure Fuzzy Optimization
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008A kind of improved symmetry and a kind of improved asymmetry genetic algorithm were introduced to solve the general multi-objective optimization problem according to the different important degree of objective functions and constraint functions. It can search the optimum solution from many initial points at the same time.
Yinan Lai +3 more
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Optimization of Inventory with Fuzzy Multi-Objective Approach
Advances in Mathematical Finance and Applications,10(2 ...Ahmadian, Ardeshir +3 more
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Multi-objective fuzzy optimization of space trusses by Ms-Excel
Advances in Engineering Software, 2005In this study space truss systems were design optimized by using fuzzy sets. For this aim @l formulation was applied. The analysis of the truss system is made with respect to matrix-displacement method. The algorithm of multi-objective fuzzy optimization was formed using the macros of Ms-Excel.
Omer Kelesoglu, Mehmet Ulker
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A Multi-Objective Evolutionary Approach for Fuzzy Optimization in Production Planning
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006This paper outlines, first, a real-world industrial problem for product-mix selection involving 8 variables and 21 constraints with fuzzy coefficients and thereafter, a multi-objective optimization approach to solve the problem. This problem occurs in production planning in which a decision-maker plays a pivotal role in making decision under fuzzy ...
Fernando Jiménez +3 more
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Fuzzy Multi-Objective Model for Optimizing Project Compression
2023 6th International Conference on Data Storage and Data Engineering (DSDE), 2023Nang-Fei Pan +3 more
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Fuzzy Preferences Incorporation into Multi-objective Optimization
2003To facilitate the discussions on multi-objective optimization (MOO), we first give a short review on the definitions related to multiobjective optimization.
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Nonlinear Optimization with Fuzzy Constraints by Multi-Objective Evolutionary Algorithms
2006Fuzzy constrained optimization problems have been extensively studied since the seventies. In the linear case, the first approaches to solve the so-called fuzzy linear programming problem were made in [12] and [15]. Since then, important contributions solving different linear models have been done and these models have been recipients of a great dealt ...
Fernando Jiménez +4 more
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Fuzzy preferences in multi-objective optimization (MOO)
2017A method to obtain the Pareto solutions that are specified by human preferences is suggested. The main idea is to convert the fuzzy preferences into interval-based weights. With the help of the dynamically-weighted aggregation method, it is shown to be successful to find the preferred solutions on two test functions with a convex Pareto front. Compared
Jin, Y, Sendhoff, B
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