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cs.NE2019
A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
A fast and efficient stochastic opposition-based learning (OBL) variant is proposed in this paper. OBL is a machine learning concept to accelerate the convergence of soft computing…
cs.NE2019
Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
Among many evolutionary algorithms, differential evolution (DE) has received much attention over the last two decades. DE is a simple yet powerful evolutionary algorithm that has b…