Hiroaki Fukumoto

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 8

Top Topics

Selection Scheme

Constraint Handling

Multiobjective Evolutionary Algorithms

Top Venues

GECCO (Companion)

EvoApplications

Publications

Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama
Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking. GECCO (2020)
Tatsumasa Ishikawa, Hiroaki Fukumoto, Akira Oyama, Hiroyuki Nishida
Improved binary additive epsilon indicator for obtaining uniformly distributed solutions in multi-objective optimization. GECCO (Companion) (2019)
Hiroaki Fukumoto, Akira Oyama
Impact of Estimation Method of Ideal/Nadir Points on Practically-Constrained Multi-Objective Optimization Problems for Decomposition-Based Multi-Objective Evolutionary Algorithm. SSCI (2019)
Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama
On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms. GECCO (2019)
Hiroaki Fukumoto, Akira Oyama
Coverage Enhancement of MOEA/D-M2M for Problems with Difficult-to-Approximate Pareto Front Boundaries. CEC (2019)
Hiroaki Fukumoto, Akira Oyama
A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms. EvoApplications (2018)
Hiroaki Fukumoto, Akira Oyama
Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem. GECCO (Companion) (2018)
Hiroaki Fukumoto, Akira Oyama
Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme. SSCI (2018)