Kei Nishihara

Orcid: 0009-0006-2610-9276

Affiliations:
  • Yokohama National University, Yokohama, Kanagawa, Japan


According to our database1, Kei Nishihara authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Simultaneous Topology Optimization Method of Magnet and Iron-Core for Interior Permanent Magnet Synchronous Motors Based on Rectangular Shape Correction.
IEEE Access, 2026

2025
A surrogate-assisted memetic algorithm for permutation-based combinatorial optimization problems.
Swarm Evol. Comput., 2025

Sustainable Performance Improvement of Surrogate-Assisted Evolutionary Algorithms Using Tabu Search.
Proceedings of the Computational Intelligence - 17th International Joint Conference, 2025

Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems (HOP GECCO'25).
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems.
Swarm Evol. Comput., 2024

Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems.
Complex Intell. Syst., 2024

A Surrogate-Assisted Partial Optimization for Expensive Constrained Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

2023
Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Automatic Construction of Loading Algorithms With Interactive Genetic Programming.
IEEE Access, 2022

Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020


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