In this paper, an improved multi-objective differential evolution algorithm(IDEA) is proposed for multi-objective optimization problems. In IDEA, the select operator combines the advantages of DE with the mechanisms of Pareto-based ranking and distance density, besides, a randomly migration strategy is proposed. IDEA is implemented on four classical multi-objective problems, the simulation resu...

Engineering of mobile telecommunication networks endures two major problems: the design of the network, and the frequency assignment. We address the first problem in this paper, which has been formulated as a multiobjective constrained combinatorial optimisation problem. We propose a genetic algorithm that aims to approximate the Pareto frontier of the problem. Advanced techniques have been use...

In this paper, we first propose four-layer optimization for UMTS coverage area: (i) cell-oriented intra-SGSN layer, which is optimized RA areas covering the intra-SGSN signaling cost, paging cost and RA load balancing, (ii) RA-oriented intra-MSC layer, which is optimized location areas covering the intra-MSC signaling cost and LA load balancing,(iii) RA-oriented inter-SGSN layer, which is optim...

Different social planners may have different opinions on the wellbeing of individuals under different social options (Roberts, 1980). If utilities are translationor ratio-scale measurable, or if the social ranking might be incomplete, or if interplanner comparability is allowed; then there exists non-dictatorial aggregation rules. We propose extensions, intersections, and mixtures of the Pareto...

Multi-objective evolutionary algorithms (EAs) that use non-dominated sorting and sharing have been criticized. Mainly for their: 1) ( 3 MN O computational complexity (where M is the number of objectives and N is the population size). 2Non-elitism approach; 3-the need for specifying a sharing parameter. In this paper, a method combining the new Ranked based Roulette Wheel selection algorithm wit...

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...

A Multi-objective optimization procedure has been developed to determine some kinetic parameters of free radical polymerization of vinyl acetate based on genetic algorithm. For this purpose, mathematical modeling of free radical polymerization of vinyl acetate is carried out first and then selected kinetic parameters are optimized by minimizing objective functions defined from comparing exp...

Weak independence (WI) prevents x from socially ranking above y at profile p if y ranks above x at profile p9 and each individual ordering of hx,yj is the same at p as at p9. If f is transitive-valued and satisfies WI and Pareto then someone has veto power.  2000 Elsevier Science S.A. All rights reserved.

Many real-world optimization problems involve multiple conflicting objectives and the use of evolutionary algorithms to solve the problems has attracted much attention recently. This paper investigates the application of multi-objective optimization technique for the design of a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the performance of a power system. The des...

In an economy with incomplete financial markets as described by Cass (1989), there is typically a continuum of equilibria driven by sunspots. In some cases, there is no Pareto ranking among the different sunspot equilibria. However, this paper shows that a sunspot equilibrium with lower price-volatility is superior in economic welfare to one with higher price-volatility based on a compensation ...