発表文献

伊庭斉志の著書(英語)

伊庭斉志の著書(中国語)

伊庭斉志の著書(日本語)

H-index of Hitoshi Iba

  • h-index 53, i10-index 159, by GoogleScholar as of 2023, Febryary.
  • D-index 49, World Ranking 3030, National Ranking 29, by Research.com as of 2023, January.

代表論文

  • 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.