Despite the relatively high volume of research conducted on evolutionary multiobjec-tive optimization in the last few years, little attention has been paid to the decision making process that is required to select a nal solution to the multiobjective optimization problem at hand. This paper reviews the most important preference handling approaches used with evolutionary algorithms, analyzing th...

The purpose of this paper is to study vendor selection problem with multi-vendor and multi-item in iron & steel industry. Firstly, the native fuzziness, derived from some uncertainty information, of some parameters in decision-making objectives is analyzed. After that, a fuzzy multiobjective programming model is formulated, with procurement quantity as decision variable, minimizing the net cost...

Under mild conditions, it can be induced from the Karush–Kuhn–Tucker condition that the Pareto set, in the decision space, of a continuous Multiobjective Optimization Problems(MOPs) is a piecewise continuous ( 1) m D   manifold(where m is the number of objectives). One hand, the traditional Multiobjective Optimization Algorithms(EMOAs) cannot utilize this regularity property; on the other han...

This paper considers multiobjective linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. A new decision making model is proposed by incorporating the concept of fractile criteria optimization into a possibilistic programming model. An interactive fuzzy satisficing method is presented for deriving a satisficing solution for a deci...

This article addresses reinsurance decision making process, which involves the insurance company and the reinsurance company, and is negotiated through reinsurance intermediaries. The article proposes a decision flow to model the reinsurance design and selection process. In contrast to existing literature on pure proportional reinsurance or stop-loss reinsurance, this article focuses on the com...

In multiobjective optimisation, one of the most common ways of describing the decision makerÕs preferences is to assign targeted values (goals) to con ̄icting objectives as well as relative weights and priority levels for attaining the goals. In linear and convex decision situations, traditional goal programming provides a pragmatic and ̄exible manner to cater for the above preferences. In certa...

This study aims to introduce a generic solution in the context of multicriteria decision making (MCDM) platform (1) facilitate optimization hybrid (de)centralized urban drainage infrastructures with many decisions and often conflicting objectives (reliability, resilience, sustainability, construction costs); (2) investigate trade-offs between performance indicators system configuration; (3) avo...