Hitoshi IBA

Click here for Japanese page.

This Evoart portrait collection is created by Dr. Genter Bachelier. Take a look at this site!! For more details, see this page.

While I was staying in Islas Encantadas ...

and in Isla de Pascua...

Fossils at the Burgess shale (with Anomalocaris and Wonderful Life).


Department of Information and Communication Engineering, Graduate School of Information Science and Technology, the University of Tokyo.
Visit our lab.!!

Contact address

7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

Tel & Fax: +81-3-5841-6070

Email: to-ru-iba@iba.t.u-tokyo.ac.jp (delete to-ru- when you use my address)


He is an underwater naturalist and experienced PADI divemaster having completed more than a thousand dives.

For example, see this MikeBall experience.

Fantastic Galapagos

History and Research Interest.

  • He graduated from Dept. Science of University of Tokyo in 1985 and received Ph.D. degree from Dept. Engineering of University of Tokyo in 1990.
  • Since then, he had been a researcher in ETL (ElectroTechnical Lab.) He joined the members of Department of Electronial Engineering at the University of Tokyo in April, 1998. He was an Associate Professor from 1998 to 2004 and Professor from 2004 to 2008 in Graduate School of Frontier Sciences.
  • Then, he was a Professor from 2008 to 2011 in Department of Electrical Engineering and Information Systems at the University of Tokyo.
  • He is currently a Professor of Department of Information and Communication Engineering, Graduate School of Information Science and Technology at the University of Tokyo.
  • He is an associate editor of IEEE tr. on EC and Journal of Genetic Programming and Evolvable Machines (GPEM).
  • His research interest includes: Evolutionary Computation, Genetic Programming, Bio-informatics, Foundation of Artificial Intelligence, Machine Learning, Robotics, Vision.

H-index of Hitoshi Iba

  • h-index 52, i10-index 161, by GoogleScholar as of 2023, January.
  • D-index 49, World Ranking 3030, National Ranking 29, by Research.com as of 2023, January.

Published Papers and books (English)

If you are interested in any of the following papers, please do not hesitate to contact me. Some of them are available from my laboratory homepage.

  • Iba, H., Kurita, T., deGaris, H. and Sato, T. "System Identification using Structured Genetic Algorithms",ICGA93,1993
  • Iba, H., Higuchi, T., deGaris, H. and Sato, T. "A Bug-Based Search Strategy for Problem Solving",IJCAI93,1993
  • Iba, H., deGaris, H. and Sato, T. "System Identification Approach to Genetic Programming",WCCI94,1994
  • Iba, H., deGaris, H. and Sato, T. "Genetic Programming with Local Hill-Climbing",PPSN3,1994
  • Iba, H., deGaris, H. and Sato, T. "Genetic Programming using a Minimum Description Length Principle", in "Advances in Genetic Programming", (ed. Kenneth E. Kinnear, Jr.), MIT Press, 1994
  • Iba, H., deGaris, H. and Sato, T. "Temporal Data Processing Using Genetic Programming",ICGA95,1995
  • Iba, H., deGaris, H. and Sato, T. "Numerical Approach to Genetic Programming for System Identification", J. of Evolutionary Computation, vol.3, no.4, 1996
  • Iba, H., and deGaris, H. "Extending Genetic Programming with Recombinative Guidance", in "Advances in Genetic Programming II", (eds. Pete Angeline, and Kenneth E. Kinnear, Jr.), MIT Press, 1996
  • Iba, H. "Emergent Cooperation for Multiple Agents using Genetic Programming", Parallel Problem Solving from Nature 4, Springer-Verlag, 1996
  • Iba, H. "Random Tree Generation for Genetic Programming", Parallel Problem Solving from Nature 4, Springer-Verlag, 1996
  • Iba,H., Iwata, M., and Higuchi,T. "Machine Learning Approach to Evolvable Hardware", Proc. International Conf. on Evolutionary Systems (ICES96), Springer-Verlag, 1996
  • Iba, H. "Evolutionary Learning for Communicating Agents", Proc. Joint Conf. on Information Science, 1997
  • Iba, H. "Multiple-Agent Learning for a Robot Navigation Task by Genetic Programming", Genetic Programming 1997 (GP97), 1997
  • Iba, H., Nozoe,T., and Ueda,K. "Evolving Communicating Agents based on Genetic Programming", Proc. IEEE International Conference on Evolutionary Computation 1997 (ICEC97), 1997
  • Iba, H. "Multi-Agent Reinforcement Learning with Genetic Programming", Genetic Programming 1998 (GP98), 1998
  • Iba, H. "Evolutionary Learning of Communicating Agents", Information Science, (108)1-4, pp.181-205, Elsevier, 1998
  • Iba, H. and Sasaki,T. "Using Genetic Programming to Predict Financial Data", Proc. 1999 Congress on Evolutionary Computation (CEC99), 1999
  • Iba, H. "Bagging, Boosting, and Bloating in Genetic Programming", GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann, 1999
  • Iba, H. "Evolving Multiple Agents by Genetic Programming", Genetic Programming 3, Spector,L., Langdon,W.B., O'Reilly,U.-A., and Angeline,P.A., (eds.) MIT Press, 1999
  • Iba,H. and Terao,M. "Controlling Effective Introns for Multi-Agent Learning by Genetic Programming" in Proc. GECCO2000, pp.419-426, Morgan Kaufmann, 2000
  • Iba,H. and Ando,S. "Analog Circuit Design with a Variable Length Chromosome" Congress on Evolutionary Computation, pp.994-100, IEEE Press, 2000
  • Iba,H. and Ando,S. "The Matrix Modeling of Gene Regulatory Networks --Reverse Engineering by Genetic Algorithms--" Proc. of Atlantic Symposium on Computational Biology, and Genome Information Systems & Technology, 2001
  • Iba,H. and Ando,S. "Inference of Gene Regulatory Model by Genetic Algorithms" Proc. of 3rd International Symposium on Adaptive Systems, pp.15-22, 2001
  • Iba,H. and Ando,S. "Inference of Gene Regulatory Model by Genetic Algorithms" Congress on Evolutionary Computation, pp.712-719, IEEE Press, 2001
  • Sakamoto,E. and Iba,H. "Inferring a System of Differential Equations for a Gene Regulatory Network by using Genetic Programming" Congress on Evolutionary Computation, pp.720-726, IEEE Press, 2001
  • Nikolaev,N. and Iba,H. "Regularization Approach to Inductive Genetic Programming" IEEE Transaction on Evolutionary Computation, vol.5, no.4, pp.359--375, 2001
  • Nikolaev,N. and Iba,H. "Accelerated Genetic Programming of Polynomials, Genetic Programmimg and Evolvable Machines" Genetic Programming and Evolvable Machines, vol.2, no.3, pp.231--257, Kluwer Academic Publ., 2001
  • Nikolaev,N. and Iba,H. "Genetic Programming of Polynomials Harmonic Networks Using the Discrete Fourier Transform" International Journal of Neural Systems, vol.12, no.5, pp.1--12, 2002
  • Ando,S., Sakamoto,E., and Iba,H. "Evolutionary Modeling and Inference of Gene Network" Information Sciences, vol.145, no.3-4, pp.237--259, 2002
  • Iba.H, and Mimura,A. "Inference of a Gene Regulatory Network by means of Interactive Evolutionary Computing" Information Sciences, vol.145, no.3-4, pp.225--236, 2002
  • Kitagawa,J., Iba,H., "Identifying Metabolic Pathways and Gene Regulation Networks with Evolutionary Algorithms" Evolutionary Computation in Bioinformatics, Fogel,G.B. and Corne,D.W.(eds.), pp.255--278, 2002
  • Nikolaev,N. and Iba,H. "Learning Polynomials Feedforward Neural Networks by Genetic Programming and Backpropagation" IEEE Transaction on Neural Networks, vol.14, no.2, pp.337--350, 2003
  • Ando,S., Ishizuka,M., Iba,H. "Evolving Analog Circuits by Variable Length Chromosomes" Advances in Evolutionary Computing -- Theory and Applications, Ghosh,A., Tsutsui,S.(eds.), pp.643--662, Springer, 2003
  • Iba,H., Saeki,S., Asai,K., Takahashi,K., Ueno,Y., Isono,K. "Inference of Euler angles for single-particle analysis by means of evolutionary algorithms", Biosystems, vol.72,no.1-2, pp.43--55, 2003
  • Ando,S., Iba,H. "Classification of gene expression profile using combinatory method of evolutionary computation and machine learning" Genetic Programming and Evolvable Machines, vol.5, pp.145--156, 2004
  • Iba,H., Tohge,T., Inoue,Y. "Cooperative Transportation by Humanoid Robots - Solving Piano Movers' Problem", Int. J. Hybrid Intell. Syst. vo.1,no.3-4, pp.189-201, 2004
  • Paul, T.K., Iba, H. "Gene Selection for Classification of Cancers using Probabilistic Model Building Genetic Algorithm", BioSystems, vol.82, no.3,pp.208-225. 2005
  • Kamio,S., Iba, H. "Adaptation Technique for Integrating Genetic Programming and Reinforcement Learning for Real Robots", IEEE transaction on Evolutionary Computation, vol.9, no.3, pp.318-333, 2005
  • Nikolaev, N., Iba, H. "Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods", in Series: Genetic and Evolutionary Computation, XIV, 316 p. 62 illus., Hardcover ISBN: 0-387-31239-0, Springer, 2006.
  • Inoue,Y., Tohge,T., Iba,H., "Cooperative transportation system for humanoid robots using simulation-based learning", Applied Soft Computing, vol.7, no.1, pp.115-125, 2007
  • Noman,N., Iba,H., "Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.4, no.4, pp.634-647, 2007
  • Noman,N., Iba,H., "Accelerating Differential Evolution Using an Adaptive Local Search", IEEE/ACM Transactions on Evolutionary Computation, vol.12, no.1, pp.107-125, 2008
  • Iba,H. (ed.), "Frontiers in Evolutionary Robotics", ISBN 978-3-902613-19-6 InTech Education and Publishing, Vienna, Austria, 2008
  • Noman,N., Iba,H., "Differential evolution for economic load dispatch problems", Electric Power Systems Research, vol.78, no.8, pp.1311-1476, 2008.
  • Hasegawa,Y., Iba,H., "A Bayesian Network Approach to Program Generation", IEEE/ACM Transactions on Evolutionary Computation, vol.12, no.6, pp.750-764, 2008.
  • Iba,H., "Inference of differential equation models by genetic programming", Information Sciences, vol.178, pp.4453-4468, 2008.
  • Aranha,C. and Iba,H., "The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization", Memetic Computing, vol.1, no.2, pp.153-171, 2009.
  • Paul,T.K. and Iba,H. "Prediction of Cancer Class with Majority Voting Genetic Programming Classifier Using Gene Expression Data", IEEE/ACM Trans. Comput. Biology Bioinform, vol.6, no.2, pp.353-367, 2009.
  • Hasegawa,Y., Iba,H., "Latent Variable Model for Estimation of Distribution Algorithm Based on a Probabilistic Context-Free Grammar", IEEE/ACM Transactions on Evolutionary Computation, vol.13, no.4, pp.858-878, 2009.
  • Iba,H., Paul,T.K. and Hasegawa,Y., "Applied Genetic Programming and Machine Learning", ISBN-10:1439803692, Taylor & Francis, Inc., 2009.
  • Kabir,M., Noman, N., Iba, H., "Reverse engineering gene regulatory network from microarray data using linear time-variant model", BMC Bioinformatics, vol.11(Suppl. 1):S56,doi:10.1186/1471-2105-11-S1-S56, 2010
  • Iba,H., Noman,N., "New Frontiers in Evolutionary Algorithms: Theory and Applications", ISBN-10: 1848166818, World Scientific Publishing Company, 2011.
  • Iba,H., Aranha,C.C., "Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging", ISBN-10: 3642276474, Springer-Verlag New York Inc, 2012.
  • Iba,H., "Agent-Based Modeling and Simulation with Swarm", ISBN-10: 146656234X, Chapman and Hall/CRC, 2013.
  • Iba,H.,Noman,N. (eds.), "Evolutionary Computation in Gene Regulatory Network Research", Wiley Series in Bioinformatics, ISBN-10: 1118911512, Wiley, 2016.
  • Iba,H., "Evolutionary Approach to Machine Learning and Deep Neural Networks: Neuro-Evolution and Gene Regulatory Networks", ISBN-10: 9811301999, Springer, 2018.
  • Iba,H., "AI and Swarm: Evolutionary approach to emergent intelligence", ISBN-10: 0367136317, CRC Press, 2019.
  • Iba,H.,Noman,N. (eds.), "Deep Neural Evolution: Deep Learning with Evolutionary Computation", (Natural Computing Series) ISBN-13 : 978-9811536847, Springer, 2020.
  • Iba,H., "Swarm Intelligence and Deep Evolution: Evolutionary Approach to Artificial Intelligence", ASIN: B09S3H8ZCN, CRC Press, 2022.