Differential Evolution

This paper presents a novel surrogate-assisted evolutionary algorithm based on scalarization function approximation, which is designed to strengthen its robustness against this deterioration. The proposed algorithm, called SFA/DE, constructs an approximation model for each scalarization function defined in a decomposition-based framework. Each decomposed problem is then solved using multiple independent models trained for its neighbor problems.

I gave a presentation at JPNSEC Symposium on Evolutionary Computation 2023 (Ohoribata Convention Hall, Odawara, 21-23, Dec.). I was also a student member of organizers for the Open Space Discussion. Thank you to all those who helped make this event possible.

Notice All materials on this page are author’s versions, not necessarily coincide with final published versions.

JPNSEC Symposium on Evolutionary Computation 2023

The Genetic and Evolutionary Computation Conference (GECCO 2023)

I gave a poster presentation at The Genetic and Evolutionary Computation Conference (GECCO 2023, Altis Grand Hotel, Lisbon, Portugal, 15-19, Jul). Thank you to all those who helped make this event possible.

This paper utilizes the expected gradient of the Gaussian Process (GP) in a surrogate-assisted evolutionary algorithm. Specifically, our proposal iteratively runs a quasi-Newton method (L-BFGS-B) changing initial points on multiple GPs constructed to approximate the promising region of the objective function.

I gave a presentation at JPNSEC Symposium on Evolutionary Computation 2022 (Hokkaido University, Sapporo, 16-18, Dec.) and got IEEE CIS Japan Chapter Young Researcher Award and Presentation Award at the same time. I was also a student member of organizers for the Open Space Discussion held as a pre event. Thank you to all those who helped make this event possible.

Notice Nishihara got the IEEE CIS Young Researchers Award and Presentation Award at the same time. All materials on this page are author’s versions, not necessarily coincide with final published versions.

JPNSEC Symposium on Evolutionary Computation 2022