Liang, YongYongLiangProf. LEUNG Kwong Sak2023-03-292023-03-292002Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 2002, Vol. 1, pp. 789 - 794, Article number 1007026http://hdl.handle.net/20.500.11861/7650In this paper, a new two-way adaptive search mutation strategy is proposed, and a "two-way evolution strategy" (TWES) is established. The experimental results show that TWES yields much faster convergence than classical evolution strategies. This paper also discusses the relationship between the parameter setting and the convergent speed by TWES. © 2002 IEEE.enEvolutionary StrategyConvergence RateAdaptive MutationsMutation StrategyHigh SpeedStep SizeMutation RateGene Regulatory NetworksLocal OptimumLine SegmentMathematical AnalysisPercentage Of MutationsMultimodal FunctionsBenchmark FunctionsUnimodal FunctionsPlane CurveEvolutionary ProgrammingTwo-way mutation evolution strategiesConference Paper10.1109/CEC.2002.1007026