This paper proposes a fuzzy goal programming based on Taylor series for solving decentralized bilevel multiobjective fractional programming (DBLMOFP) problem. In the proposed approach, all of the membership functions are associated with the fuzzy goals of each objective at the both levels and also the fractional membership functions are converted to linear functions using the Taylor series appr...

This paper presents an efficient and simple approach for solving the Multiobjective reactive power optimization problem. Fuzzy Logic has been applied in combination with Evolutionary Programming (EP). In order to have a better convergence in EP the mutation process is incorporated with Fuzzy Logic which leads to an improved technique called as Fuzzy Mutated Evolutionary Programming (FMEP). The ...

The paper presents a weather routing solution for sail-assisted ships. Since the route finding optimisation process is a multiobjective one, the emphasis is put on possible application of multiobjective optimisation methods. The paper focuses on two such methods, namely evolutionary algorithms and ranking methods represented by Fuzzy TOPSIS. In addition, a proposed set of optimization criteria ...

This paper proposes a multiobjective harmony search (MOHS) algorithm for optimal power flow (OPF) problem. OPF problem is formulated as a nonlinear constrained multiobjective optimization problem where different objectives and different constraints have been considered. Fast elitist non dominated sorting and crowding distance have been used to find and manage the Pareto optimal front. Finally, ...

-A contemporary definition of VLSI placement problem is characterized by multiple objectives. These objectives are: timing, chip area, interconnection length and possibly others. In this paper, fuzzy logic has been used to facilitate multiobjective decision-making in placement for standard cell design style. A placement process has been defined in terms of linguistic variables, linguistic value...

The purpose of this paper is to study fully fuzzy multi-choice multiobjective linear programming problem (FFMMOLPP), in which, right hand side of each constraint has two choices. With the help of ranking function, deviation distance and deviation degree between two fuzzy numbers are defined. A new method is proposed to find the  fuzzy pareto optimal solution of FFMMOLPP which is defuzzified by...

The gathering of various population based on factors such as economics or religion. Cluster is a technique to join many networks. The multiobjective fuzzy clustering algorithm has the ability to address both hotspot and energy hole problem in station and evolving networks which has no fix structure although fuzzy clustering has shown better results than traditional protocol but it has not consi...

In the real situations, decision makers are often faced to a plurality of objectives and constraints in a world of imprecise data about the preferences of agents, the local constraints and the global environment. In a fuzzy environment, fuzzy linear programming (FLP) and fuzzy goal programming (FGP) problems incorporate fuzzy objective functions and constraints, fuzzy parameters and variable se...

This paper proposes a fuzzy-robust stochastic multiobjective programming (FRSMOP) approach, which integrates fuzzy-robust linear programming and stochastic linear programming into a general multiobjective programming framework. A chosen number of noninferior solutions can be generated for reflecting the decision-makers’ preferences and subjectivity. The FRSMOP method can effectively deal with t...