This paper introduces a multi-factory scheduling problem with heterogeneous factories and parallel machines. problem, as major part of supply chain planning, includes the finding suitable factory for each job assigned jobs at factory, simultaneously. For first time, this studies multi-objective in production network which has its customers demands can be satisfied by itself or other factories. ...

the present paper aims to investigate the effects of modularity and the layout of subsystems and parts of a complex system on its maintainability. for this purpose, four objective functions have been considered simultaneously: i) maximizing the level of accordance between system design and optimum modularity design,ii) maximizing the level of accessibility and the maintenance space required,iii...

Abstract Large-scale multi-objective optimization problems (MOPs) that involve a large number of decision variables, have emerged from many real-world applications. While evolutionary algorithms (EAs) been widely acknowledged as mainstream method for MOPs, most research progress and successful applications EAs restricted to MOPs with small-scale variables. More recently, it has reported traditi...

this paper explores the capabilities of multi-objective particle swarm optimization algorithmin a simulation-optimization model for solving waste load allocation problems. the main goals are totaltreatment costs, violation of the water quality standards and equity. in this research, the water qualitysimulation model is coupled with a multi-objective optimization model, mopso. in order to derive...

In recent years, the optimization of multi-objective service composition in distributed systems has become an important issue. Existing work makes a smaller set Pareto-optimal solutions to represent Pareto Front (PF). However, they do not support complex mapping quality (QoS) objective space, thus having limitations providing representative solutions. We propose enhanced differential evolution ...