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Hot off the Press: A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
This paper theoretically demonstrates that incorporating an archive to store best-found solutions enables smaller populations and enhances SPU-based MOEA performance and proves archives reduce expected running time upper bounds (even exponentially).
Hot off the Press: Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
This work analytically present that stochastic population update can be beneficial for the search of MOEAs, and proves that the expected running time of two well-established MOEAs, SMS-EMOA and NSGA-II, for solving two bi-objective problems can be exponentially decreased if replacing its deterministic population update...