Evolutionary multi-objective optimization for RIS-aided MU-MISO communication systems

Communication Strategies in Distributed Evolutionary Algorithms for Multi-objective Optimization

The communication between subpopulations in a distributed evolutionary algorithm is an important issue since it influences the algorithm effectiveness in solving the optimization problem and the efficiency of the parallel implementation. Choosing the adequate communication strategy depends on various factors, thus by comparing different strategies one can collect knowledge on how to design an e...

Evolutionary Multi-Objective Robust Optimization

Multi-Objective Evolutionary Optimization of Flexible Manufacturing Systems

This paper describes multi-objective evolutionary optimization of process planning in flexible manufacturing systems (FMSs). FMS can be described as an integrated manufacturing system consisting of machines, computers, robots, and automated guided vehicles (AGVs). While FMSs give great advantages through the flexibility, FMSs pose complex problems on multi-objective process planning. An evoluti...

A NOVEL FUZZY MULTI-OBJECTIVE ENHANCED TIME EVOLUTIONARY OPTIMIZATION FOR SPACE STRUCTURES

This research presents a novel design approach to achieve an optimal structure established upon multiple objective functions by simultaneous utilization of the Enhanced Time Evolutionary Optimization method and Fuzzy Logic (FLETEO). For this purpose, at first, modeling of the structure design problem in this space is performed using fuzzy logic concepts. Thus, a new problem creates with functio...

Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization

Dynamic optimization and multi-objective optimization have separately gained increasing attention from the research community during the last decade. However, few studies have been reported on dynamic multi-objective optimization (dMO) and scarce effective dMO methods have been proposed. In this paper, we fulfill these gabs by developing new dMO test problems and new effective dMO algorithm. In...