Abstract Optimization problems with multiple objectives and many input variables inherit challenges from both large-scale optimization multi-objective optimization. To solve the problems, decomposition transformation methods are frequently used. In this study, an improved control variable analysis is proposed based on dominance diversity in Pareto Further, method used a cooperative coevolution ...

Shortest path problems appear as subproblems in numerous optimization problems. In most papers concerning multiple objective shortest path problems, additivity of the objective is a de-facto assumption, but in many real-life situations objectives and criteria, can be non-additive. The purpose of this paper is to give a general framework for dominance tests for problems involving a number of non...

Background: In the literature, there exists several approaches to address multi-objective linear fractional programming problem (MOLFPP). However, is a drawback these methods.Aim: This paper presents an efficient method treating MOLFPP.Methodology: To construct our approach,the membership functions of objectives, suitable non-linear variable transformations, and max-min technique are used.Resul...