Extension of weighted empirical distribution and group-based adaptive differential evolution for joint chance constrained problems - researchr publication related

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Kiyoharu Tagawa. Extension of weighted empirical distribution and group-based adaptive differential evolution for joint chance constrained problems. In Hernán E. Aguirre, Keiki Takadama, editors, Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, Kyoto, Japan, July 15-19, 2018. pages 223-224, ACM, 2018. [doi]

The following publications are possibly variants of this publication:

Weighted empirical distribution based approach to Chance Constrained Optimization Problems using Differential EvolutionKiyoharu Tagawa, Shun Miyanaga. cec 2017: 97-104 [doi]

An Approach to Chance Constrained Problems Based on Huge Data Sets Using Weighted Stratified Sampling and Adaptive Differential EvolutionKiyoharu Tagawa. computers, 9(2):32, 2020. [doi]

Truncated Halton Sequence and Adaptive Differential Evolution to Solve Joint Chance Constrained Problems with Application to Flood Control PlanningKiyoharu Tagawa. eecs 2018: 438-444 [doi]

A Big Data based Approach to Chance Constrained Problems Using Weighted Stratified Sampling and Differential EvolutionKiyoharu Tagawa. sice 2019: 1473-1478 [doi]

Group-based Adaptive Differential Evolution For Chance Constrained Portfolio Optimization Using Bank Deposit and Bank LoanKiyoharu Tagawa. cec 2019: 1556-1563 [doi]

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