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Kei Nishihara

Observed names: Kei NISHIHARA, Nishihara, Kei
ORCID: 0009-0006-2610-9276
Observed ORCID: 0009-0006-2610-9276
OpenAlex ID: A5025035118
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
2024 · Yuma Horaguchi, Kei Nishihara, et al. · Swarm and Evolutionary Computation · 40
Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion
2022 · Kei Nishihara, Masaya Nakata · IEEE Symposium Series on Computational Intelligence (SSCI) · 14
Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems
2024 · Kei Nishihara, Masaya Nakata · Complex & Intelligent Systems · 3
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Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems
2022 · Yuma Horaguchi, Kei Nishihara, et al. · 3
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Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems (HOP GECCO'25)
2025 · Yuma Horaguchi, Kei Nishihara, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 2
Automatic Construction of Loading Algorithms With Interactive Genetic Programming
2022 · Yusuke Hiruta, Kei Nishihara, et al. · IEEE Access · 2
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A Surrogate-Assisted Partial Optimization for Expensive Constrained Optimization Problems
2024 · Kei Nishihara, Masaya Nakata · Lecture notes in computer science · 1
Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms
2023 · Kei Nishihara, Masaya Nakata · 1
Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework
2021 · Kei Nishihara, Masaya Nakata · IEEE Congress on Evolutionary Computation (CEC) · 1
Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study
2020 · Kei Nishihara, Masaya Nakata · IEEE Congress on Evolutionary Computation (CEC) · 1
An Easy-to-Use Extension of Surrogate-Assisted Multi-Objective Evolutionary Algorithms for Expensive Robust Optimization
2026 · Takuro Tanaka, Yuma Horaguchi, et al. · Lecture notes in computer science
Supplementary Materials for ''An Easy-to-Use Extension of Surrogate-Assisted Multi-Objective Evolutionary Algorithms for Expensive Robust Optimization''
2026 · Tanaka, Takuro, Horaguchi, Yuma, et al. · Zenodo (CERN European Organization for Nuclear Research)
Sustainable Performance Improvement of Surrogate-Assisted Evolutionary Algorithms Using Tabu Search
2026 · Kei Nishihara, Masaya Nakata, et al. · Communications in computer and information science
A Simultaneous Topology Optimization Method of Magnet and Iron-Core for Interior Permanent Magnet Synchronous Motors Based on Rectangular Shape Correction
2026 · Yuju Sasabuchi, Takahiro Sato, et al. · IEEE Access
An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models
2026 · Kei Nishihara, Yaochu Jin, et al. · IEEE Transactions on Cybernetics
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高価な最適化問題における進化計算のアルゴリズム適応
2025 · Nishihara, Kei · Institutional Repositories DataBase (IRDB)
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A Heuristic Topology Optimization Method with Explicit Topological Changes
2025 · Seiya TAKAHASHI, Kei NISHIHARA, et al. · Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu
Impact of Approximating Scalarization Functions on High-dimensional Multiobjective Optimization: A Fast and Scalable Approach
2022 · Masaya Nakata, Yuma Horaguchi, et al.
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Works count: 19
Citation count: 76
H-index: 3
I10-index: 2
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