World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
9750
World Ranking
4883
National Ranking
58

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Hitoshi Iba is affiliated with the University of Tokyo in Japan. Their research spans several fields, primarily within computer science and engineering, with a focus on artificial intelligence and evolutionary computation.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these, the key subfields they explore are:

  • Artificial Intelligence
  • Mechanical Engineering
  • Biomedical Engineering
  • Control and Systems Engineering
  • Computational Theory and Mathematics

The primary research topics covered in their work are:

  • Machine Learning and Data Classification
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Modular Robots and Swarm Intelligence
  • Soft Robotics and Applications
  • Robot Manipulation and Learning
  • Neural Networks and Applications

Among their recent publications are:

  • "Lamarckian Co-design of Soft Robots via Transfer Learning" (2024), published in the Proceedings of the Genetic and Evolutionary Computation Conference
  • "MPENAS: Multi-fidelity Predictor-guided Evolutionary Neural Architecture Search with Zero-cost Proxies" (2023), published in the Proceedings of the Genetic and Evolutionary Computation Conference
  • "Complexity, interpretability and robustness of GP-based feature engineering in remote sensing" (2024), published in Swarm and Evolutionary Computation
  • "Exploring the Improvement of Evolutionary Computation via Large Language Models" (2024), published on arXiv (Cornell University)
  • "Complexity, Interpretability and Robustness of Gp-Based Feature Engineering in Remote Sensing" (2024), published in SSRN Electronic Journal

Frequent co-authors collaborating with Hitoshi Iba include:

  • Jinglue Xu
  • João E. Batista
  • Adam Kotaro Pindur
  • Ana I. R. Cabral
  • Sara Silva

The researcher has published books as well, including a title with Springer Science+Business Media:

  • Deep Neural Evolution (2020)

Frequent publication venues where their work appears are:

  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Swarm and Evolutionary Computation
  • arXiv (Cornell University)
  • SSRN Electronic Journal

Best Publications

  • Particle swarm optimization with Gaussian mutation

    N. Higashi;H. Iba

  • Accelerating Differential Evolution Using an Adaptive Local Search

    N. Noman;H. Iba

  • Differential evolution for economic load dispatch problems

    Nasimul Noman;Hitoshi Iba

  • Inferring a system of differential equations for a gene regulatory network by using genetic programming

    E. Sakamoto;H. Iba

  • Evolving hardware with genetic learning: a first step towards building a Darwin machine

    Tetsuya Higuchi;Tatsuya Niwa;Toshio Tanaka;Hitoshi Iba

  • Genetic programming using a minimum description length principle

    Hitoshi Iba;Hugo de Garis;Taisuke Sato

  • Genetic Programming 1998: Proceedings of the Third Annual Conference

    J.R. Koza;W. Banzhaf;K. Chellapilla;K. Deb

  • Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics

    Nasimul Noman;Hitoshi Iba

  • Enhancing differential evolution performance with local search for high dimensional function optimization

    Nasimul Noman;Hitoshi Iba

  • System Identification using Structured Genetic Algorithms

    Hitoshi Iba;Takio Kurita;Hugo de Garis;Taisuke Sato

  • Using genetic programming to predict financial data

    H. Iba;T. Sasaki

  • A numerical approach to genetic programming for system identification

    Hitoshi Iba;Hugo deGaris;Taisuke Sato

  • Bagging, Boosting, and bloating in Genetic Programming

    Hitoshi Iba

  • Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems

    Tetsuya Higuchi;Masaya Iwata;Isamu Kajitani;Hitoshi Iba

  • Genetic Programming 1997: Proceedings of the Second Annual Conference

    John R. Koza;D. Kalyanmoy;Marco Dorigo;David B. Fogel

  • Evolutionary modeling and inference of gene network

    Shin Ando;Erina Sakamoto;Hitoshi Iba

  • Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

    Nikolay Nikolaev;Hitoshi Iba

  • Selecting Informative Genes with Parallel Genetic Algorithms in Tissue Classification

    Juan Liu;Hitoshi Iba;Mitsuru Ishizuka

  • Learning polynomial feedforward neural networks by genetic programming and backpropagation

    N.Y. Nikolaev;H. Iba

  • A Pattern Recognition System Using Evolvable Hardware

    Masaya Iwata;Isamu Kajitani;Hitoshi Yamada;Hitoshi Iba

Frequent Co-Authors

Danushka Bollegala
Danushka Bollegala University of Liverpool
Mitsuru Ishizuka
Mitsuru Ishizuka University of Tokyo
David B. Fogel
David B. Fogel Torrey Pines Institute For Molecular Studies
Kiyoshi Asai
Kiyoshi Asai University of Tokyo
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Teruo Fujii
Teruo Fujii University of Tokyo
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Hussein A. Abbass
Hussein A. Abbass University of New South Wales
John R. Koza
John R. Koza Stanford University
Xiaodong Li
Xiaodong Li University of Virginia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA can open doors to a wide range of high-demand fields. Many students also consider related disciplines that offer flexible, career-focused learning. For example, you can explore an online cyber security degree to specialize in protecting data and networks—skills that are always in demand.

Beyond technology, there is increasing interest in fields like construction management. These roles combine technical know-how with leadership, and there are a variety of construction management courses available online for those seeking project-oriented careers.

For students weighing costs, the cost of criminal justice degree is an important factor to evaluate. Online programs can offer affordable options for individuals aiming to enter law enforcement, corrections, or legal support.

Accounting is another popular pathway. Opting for an accredited online accounting degree enables students to build a foundation for roles in finance, auditing, and business management without sacrificing flexibility.

With flexible online degrees now available in so many areas, students can tailor their education to their unique career interests and budgets.

Best Scientists Citing Hitoshi Iba

Trending Scientists

Recently Published Articles