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 experim...

Dynamic traffic management (DTM) is acknowledged in various policy documents as an important instrument to improve network performance. This network performance is not only a matter of accessibility, since the externalities of traffic are becoming more and more important objectives as well. Optimization of network performance using DTM measures is a specific example of a network design problem ...

It is widely recognized that a Share Economy (SE) Pareto-dominates a FixedWage Economy (FWE) if unions care about employment. This begs the question, why profit sharing is less than ubiquitous. In this paper, we offer a solution to this conundrum by looking at particular transition arrangements from a FWE to a SE. We analytically show that despite the Pareto-dominance of a SE, the changeover fr...

h a stochastic and fuzzy environment, a multiobjective fuzzy stopping problem is discussed. The randomness and fuzziness are evaluated by probabilistic expectations and linear ranking functions, respectively. Pareto optimal fuzzy stopping times are given under the assumption of regularity for stopping rules, by using X-optimal stopping times. @ 2003 Elsevier Ltd. All rights reserved. &Fords-Mul...

This paper studies the fuzzification of the Pareto dominance relation and its application to the design of Evolutionary Multi-Objective Optimization algorithms. A generic ranking scheme is presented that assigns dominance degrees to any set of vectors in a scale-independent, nonsymmetric and set-dependent manner. Based on such a ranking scheme, the vector fitness values of a population can be r...

This work proposes Adaptive e-Ranking to enhance Pareto based selection, aiming to develop effective many-objective evolutionary optimization algorithms. eRanking fine grains ranking of solutions after they have been ranked by Pareto dominance, using a randomized sampling procedure combined with e-dominance to favor a good distribution of the samples. In the proposed method, sampled solutions k...

The field of visual search has gained significant attention recently, particularly in the context web engines and e-commerce product platforms. However, abundance images presents a challenge for modern image retrieval systems, as they need to find both relevant diverse that maximize users’ satisfaction. In response this challenge, we propose non-dominated diversity re-ranking (NDVDR) method bas...