Improving volunteer computing scheduling for evolutionary algorithms

► Parallel Evolutionary Algorithms used for computationally intensive functions optimization. ► Volunteer Computing is cost effective but degrades optimization performance. ► Matchmaking hosts and tasks can improve the evolutionary algorithm performance. ► Matchmaking tested with Genetic Algorithm and Monte Carlo benchmark functions.