An Overview of Simulation-Based Multi-objective Evolutionary Algorithms

This overview is a recent literature on simulation-based multi-objective evolutionary algorithms (SMOEAs) capable of handling stochastic multiple objective functions. Special attention is given to stochastic multi-objective problems as well as to combinations of multi-objective evolutionary algorithms with simulation techniques. Then we illustrate the principale working of cooperation between Simulation and MOEAs, and discuss their application scope. Finally, it highlights recent important trends and closely related research fields.