This paper considers multiobjective integer programming problems involving random variables in constraints. Using the concept of simple recourse, the formulated multiobjective stochastic simple recourse problems are transformed into deterministic ones. For solving transformed deterministic problems efficiently, we also introduce genetic algorithms with double strings for nonlinear integer progr...

We are interested in this paper in solving a multiobjective hybrid flowshop scheduling problem (HFS). The problem has different parameters and constraints such as release dates, due dates and sequence dependent setup times. Two different objectives should be optimized at once: the makespan and the total tardiness to be minimized. To solve the problem, we have developed two versions of a new dec...

In view of the conservatism of the conventional linear matrix inequality (LMI) based fault detection observer design for Takagi-Sugeno fuzzy nonlinear systems with more If-Then rules, an improved fuzzy observer design is presented. The identical transformation of matrix inequalities is employed to reduce the conservatism and the number of LMI constraints, which can accommodate to the models wit...

The aim of his paper is to present some applications of fuzzy techniques in the optimization-based design of analog circuits. Our approach turns into profit the advantages offered by different fuzzy techniques. Fuzzy systems or fuzzy sets are involved in every algorithm phase. The optimization problem formulation is accomplished in a flexible manner using fuzzy sets to define fuzzy optimization...

Water quality management though a very important part of overall water resources management programs is also unfortunately given the last priority among all the other objectives like water supply for irrigation, drinking purpose, hydropower, flood mitigation etc. In the present paper a multiobjective waste load allocation (MOWLA) model has been developed. Though there are many MOWLA models with...

Multiobjective genetic fuzzy rule selection is based on the generation of a set of candidate fuzzy classification rules using a preestablished granularity or multiple fuzzy partitions with different granularities for each attribute. Then, a multiobjective evolutionary algorithm is applied to perform fuzzy rule selection. Since using multiple granularities for the same attribute has been sometim...

This paper is concerned with the make-or-buy decision model for manufacturing and procurement problems. We develop a web-based two-step approach such as: 1) the first step, we used the multi-attribute analysis method using AHP(analytic hierarchy process) and 2) second step we used fuzzy set ranking methodologies to integrate the special decision problems that are the problems of multiobjective,...

A method to enhance the 'possibilistic C-means with repulsion' algorithm based on cluster validity index p. 77 Design centering and tolerancing with utilization of evolutionary techniques p. 91 Curve fitting with NURBS using simulated annealing p. 99 Multiobjective adaptive representation evolutionary algorithm (MAREA)-a new evolutionary algorithm for multiobjective optimization p. 113 Adapting...

A fuzzy logic based multiobjective genetic algorithm (GA) was used to optimize the micromechanical densification modeling parameters such as that of Ashby’s HIP 6.1 for copper powder. In addition to optimizing the 16 main parameters, the GA provides a quantitative measure of the sensitivity of the model to each parameter. While not a sensitivity analysis in the strictest sense, and highly stoch...

This paper presents a fuzzy goal programming FGP procedure for solving bilevel multiobjective linear fractional programming BL-MOLFP problems. It makes an extension work of Moitra and Pal 2002 and Pal et al. 2003 . In the proposed procedure, the membership functions for the defined fuzzy goals of the decision makers DMs objective functions at both levels as well as the membership functions for ...