Masaharu Munetomo

Masaharu Munetomo

Hokkaido University

H-index: 24

Asia-Japan

About Masaharu Munetomo

Masaharu Munetomo, With an exceptional h-index of 24 and a recent h-index of 9 (since 2020), a distinguished researcher at Hokkaido University, specializes in the field of Evolutionary Computation, Cloud Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors

Adaptive Patching for High-resolution Image Segmentation with Transformers

Learning from the Past Training Trajectories: Regularization by Validation

Cooperative coevolutionary surrogate ensemble-assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization problems

Q-learning based vegetation evolution for numerical optimization and wireless sensor network coverage optimization

Meta generative image and text data augmentation optimization

SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems

Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments

Masaharu Munetomo Information

University

Position

Information Initiative Center

Citations(all)

1928

Citations(since 2020)

380

Cited By

1785

hIndex(all)

24

hIndex(since 2020)

9

i10Index(all)

47

i10Index(since 2020)

8

Email

University Profile Page

Hokkaido University

Google Scholar

View Google Scholar Profile

Masaharu Munetomo Skills & Research Interests

Evolutionary Computation

Cloud Computing

Top articles of Masaharu Munetomo

Title

Journal

Author(s)

Publication Date

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors

The Journal of Supercomputing

Rui Zhong

Enzhi Zhang

Masaharu Munetomo

2024/2/9

Adaptive Patching for High-resolution Image Segmentation with Transformers

arXiv preprint arXiv:2404.09707

Enzhi Zhang

Isaac Lyngaas

Peng Chen

Xiao Wang

Jun Igarashi

...

2024/4/15

Learning from the Past Training Trajectories: Regularization by Validation

Journal of Advanced Computational Intelligence and Intelligent Informatics

Enzhi Zhang

Mohamed Wahib

Rui Zhong

Masaharu Munetomo

2024/1/20

Cooperative coevolutionary surrogate ensemble-assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization problems

Complex & Intelligent Systems

Rui Zhong

Enzhi Zhang

Masaharu Munetomo

2024/4

Q-learning based vegetation evolution for numerical optimization and wireless sensor network coverage optimization

Alexandria Engineering Journal

Rui Zhong

Fei Peng

Jun Yu

Masaharu Munetomo

2024/1/1

Meta generative image and text data augmentation optimization

The Journal of Supercomputing

Enzhi Zhang

Bochen Dong

Mohamed Wahib

Rui Zhong

Masaharu Munetomo

2024/2/19

SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems

Neural Computing and Applications

Rui Zhong

Jun Yu

Chao Zhang

Masaharu Munetomo

2024/2/12

Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments

Rui Zhong

Binan Tu

Enzhi Zhang

Masaharu Munetomo

2023/7/1

Training Knowledge Inheritance Through Deep Q-Net

Enzhi Zhang

Ruqin Wang

Mohamed Wahib

Rui Zhong

Masaharu Munetomo

2023/10/1

A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem

Rui Zhong

Enzhi Zhang

Masaharu Munetomo

2023/5/3

Vegetation evolution with dynamic maturity strategy and diverse mutation strategy for solving optimization problems

Biomimetics

Rui Zhong

Fei Peng

Enzhi Zhang

Jun Yu

Masaharu Munetomo

2023/9/25

Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization

Rui Zhong

Masaharu Munetomo

2023/3/9

Cooperative coevolutionary differential evolution with linkage measurement minimization for large-scale optimization problems in noisy environments

Complex & Intelligent Systems

Rui Zhong

Enzhi Zhang

Masaharu Munetomo

2023/8

An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment

Artificial Life and Robotics

Daichi Morimoto

Haruhi Tsukamoto

Motoaki Hiraga

Kazuhiro Ohkura

Masaharu Munetomo

2023/11

Evolutionary Multi-mode Slime mould Optimization: A hyper-heuristic algorithm inspired by slime mould foraging behaviors

Rui Zhong

Enzhi Zhang

Masaharu Munetomo

2023/7/24

Surrogate ensemble-assisted hyper-heuristic algorithm for expensive optimization problems

International Journal of Computational Intelligence Systems

Rui Zhong

Jun Yu

Chao Zhang

Masaharu Munetomo

2023/10/26

Meta Generative Data Augmentation Optimization

Enzhi Zhang

Bochen Dong

Mohamed Wahib

Rui Zhong

Masaharu Munetomo

2023/7/24

Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random …

arXiv preprint arXiv:2209.00777

Rui Zhong

Masaharu Munetomo

2022/9/2

Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach

Journal of Robotics and Mechatronics

Daichi Morimoto

Yukiha Iwamoto

Motoaki Hiraga

Kazuhiro Ohkura

2023/8/20

Accelerating differential evolution algorithm with Gaussian sampling based on estimating the convergence points

arXiv preprint arXiv:2208.14619

Rui Zhong

Masaharu Munetomo

2022/8/31

See List of Professors in Masaharu Munetomo University(Hokkaido University)