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Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method

Yang, Taho; Chou, Pohung - In: Mathematics and Computers in Simulation (MATCOM) 68 (2005) 1, pp. 9-21

for order preference by similarity to ideal solution (TOPSIS). The method assumes that the control factors have discrete … factor mean and variance effects. TOPSIS is then used to find the surrogate objective function for the multiple responses …

Persistent link: https://www.econbiz.de/10011050795

Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors

Kuo, Yiyo; Yang, Taho; Cho, Chiwoon; Tseng, Yao-Ching - In: Mathematics and Computers in Simulation (MATCOM) 78 (2008) 1, pp. 40-56

similarity to ideal solution (TOPSIS) and an analytic hierarchy process (AHP) – in combination with Taguchi orthogonal array are …

Persistent link: https://www.econbiz.de/10010749217

Multiple attribute decision-making methods for the dynamic operator allocation problem

Yang, Taho; Chen, Mu-Chen; Hung, Chih-Ching - In: Mathematics and Computers in Simulation (MATCOM) 73 (2007) 5, pp. 285-299

technique for order preference by similarity to ideal solution (TOPSIS). The second method incorporates a fuzzy-based logic that … uses linguistic variable representation, fuzzy operation, and fuzzy defuzzification. The TOPSIS uses deterministic …

Persistent link: https://www.econbiz.de/10010749351

H∞ controller design for a distillation column using genetic algorithms

Kitsios, I.; Pimenides, T. - In: Mathematics and Computers in Simulation (MATCOM) 60 (2002) 3, pp. 357-367

In the conventional H∞ optimal output feedback control design, the order of the controller is higher than that of the plant. Thus, it is not easy to implement H∞ optimal control in real world engineering problems. This paper tries to bridge the gap between the theoretical H∞ control and...

Persistent link: https://www.econbiz.de/10011050381

Aircraft design optimization

Alonso, J.J.; LeGresley, P.; Pereyra, V. - In: Mathematics and Computers in Simulation (MATCOM) 79 (2009) 6, pp. 1948-1958

In this paper we describe briefly a set of procedures for the optimal design of full mission aerospace systems. This involves multi-physics simulations at various fidelity levels, surrogates, distributed computing and multi-objective optimization. Low-fidelity analysis is used to populate a...

Persistent link: https://www.econbiz.de/10010748659

Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic

Kacem, Imed; Hammadi, Slim; Borne, Pierre - In: Mathematics and Computers in Simulation (MATCOM) 60 (2002) 3, pp. 245-276

Most scheduling problems are complex combinatorial problems and very difficult to solve [Manage. Sci. 35 (1989) 164; F.S. Hillier, G.J. Lieberman, Introduction to Operations Research, Holden-Day, San Francisco, CA, 1967]. That is why, lots of methods focus on the optimization according to a single...

Persistent link: https://www.econbiz.de/10010749196

Choquet integral for criteria aggregation in the flexible job-shop scheduling problems

Saad, Ihsen; Hammadi, Slim; Benrejeb, Mohamed; Borne, Pierre - In: Mathematics and Computers in Simulation (MATCOM) 76 (2008) 5, pp. 447-462

Most complex scheduling problems are combinatorial problems and difficult to solve. That is why, several methods focus on the optimization according to a single criterion such as makespan, workloads of machines, waiting times, etc. In this paper, the Choquet integral is introduced as a general...

Persistent link: https://www.econbiz.de/10010749788