Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study. - Kei Nishihara 001; Masaya Nakata (CEC, 2020)

Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework. - Kei Nishihara 001; Masaya Nakata (CEC, 2021)

Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion. - Kei Nishihara 001; Masaya Nakata (SSCI, 2022)

Automatic Construction of Loading Algorithms With Interactive Genetic Programming. - Yusuke Hiruta; Kei Nishihara 001; Yuji Koguma; Masakazu Fujii; Masaya Nakata (IEEE Access, 2022)

Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms. - Kei Nishihara 001; Masaya Nakata (GECCO Companion, 2023)

A Surrogate-Assisted Partial Optimization for Expensive Constrained Optimization Problems. - Kei Nishihara 001; Masaya Nakata (PPSN (2), 2024)

Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems. - Yuma Horaguchi; Kei Nishihara 001; Masaya Nakata (Swarm Evol. Comput., 2024)

A surrogate-assisted memetic algorithm for permutation-based combinatorial optimization problems. - Takashi Ikeguchi; Kei Nishihara 001; Yo Kawauchi; Yuji Koguma; Masaya Nakata (Swarm Evol. Comput., 2025)