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4 papers
Self-Referential Quality Diversity Through Differential Map-Elites
Tae Jong Choi, Julian Togelius
Differential MAP-Elites is a novel algorithm that combines the illumination capacity of CVT-MAP-Elites with the continuous-space optimization capacity of Differential Evolution. Th…
An Improved LSHADE-RSP Algorithm with the Cauchy Perturbation: iLSHADE-RSP
Tae Jong Choi, Chang Wook Ahn
A new method for improving the optimization performance of a state-of-the-art differential evolution (DE) variant is proposed in this paper. The technique can increase the explorat…
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…
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…