| 2009 | ||
|---|---|---|
| 91 | Makoto Tanji, Hitoshi Iba: Program optimization by random tree sampling. GECCO 2009: 1131-1138 | |
| 90 | Toshihiko Yanase, Yoshihiko Hasegawa, Hitoshi Iba: Binary encoding for prototype tree of probabilistic model building GP. GECCO 2009: 1147-1154 | |
| 89 | Claus de Castro Aranha, Hitoshi Iba: Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. GECCO 2009: 1427-1434 | |
| 88 | Akinori Hirabayashi, Claus de Castro Aranha, Hitoshi Iba: Optimization of the trading rule in foreign exchange using genetic algorithm. GECCO 2009: 1529-1536 | |
| 87 | Topon Kumar Paul, Hitoshi Iba: Prediction of Cancer Class with Majority Voting Genetic Programming Classifier Using Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 6(2): 353-367 (2009) | |
| 2008 | ||
| 86 | Makoto Tanji, Daichi Ando, Hitoshi Iba: Improving Metrical Grammar with Grammar Expansion. Australasian Conference on Artificial Intelligence 2008: 180-191 | |
| 85 | Claus de Castro Aranha, Hitoshi Iba: Application of a Memetic Algorithm to the Portfolio Optimization Problem. Australasian Conference on Artificial Intelligence 2008: 512-521 | |
| 84 | Claus de Castro Aranha, Hitoshi Iba: A tree-based GA representation for the portfolio optimization problem. GECCO 2008: 873-880 | |
| 83 | Toshihiko Yanase, Hitoshi Iba: Evolutionary Multi-Objective Optimization for Biped Walking. SEAL 2008: 635-644 | |
| 82 | Nasimul Noman, Hitoshi Iba: Accelerating Differential Evolution Using an Adaptive Local Search. IEEE Trans. Evolutionary Computation 12(1): 107-125 (2008) | |
| 81 | Yoshihiko Hasegawa, Hitoshi Iba: A Bayesian Network Approach to Program Generation. IEEE Trans. Evolutionary Computation 12(6): 750-764 (2008) | |
| 80 | Hitoshi Iba: Inference of differential equation models by genetic programming. Inf. Sci. 178(23): 4453-4468 (2008) | |
| 2007 | ||
| 79 | Daichi Ando, Palle Dahlsted, Mats G. Nordahl, Hitoshi Iba: Interactive GP with Tree Representation of Classical Music Pieces. EvoWorkshops 2007: 577-584 | |
| 78 | Yoshihiko Hasegawa, Hitoshi Iba: Estimation of distribution algorithm based on probabilistic grammar with latent annotations. IEEE Congress on Evolutionary Computation 2007: 1043-1050 | |
| 77 | Claus de Castro Aranha, Hitoshi Iba: Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. IEEE Congress on Evolutionary Computation 2007: 196-203 | |
| 76 | Daichi Ando, Hitoshi Iba: Interactive composition aid system by means of tree representation of musical phrase. IEEE Congress on Evolutionary Computation 2007: 4258-4265 | |
| 75 | Nasimul Noman, Hitoshi Iba: Inferring Regulations in a Genomic Network from Gene Expression Profiles. Analysis of Biological Data: A Soft Computing Approach 2007: 205-229 | |
| 74 | Yutaka Inoue, Takahiro Tohge, Hitoshi Iba: Cooperative transportation system for humanoid robots using simulation-based learning. Appl. Soft Comput. 7(1): 115-125 (2007) | |
| 73 | Nasimul Noman, Hitoshi Iba: Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. IEEE/ACM Trans. Comput. Biology Bioinform. 4(4): 634-647 (2007) | |
| 2006 | ||
| 72 | Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen, Xin Yao: Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings Springer 2006 | |
| 71 | Topon Kumar Paul, Hitoshi Iba: Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease. CIBCB 2006: 1-6 | |
| 70 | Nasimul Noman, Hitoshi Iba: A new generation alternation model for differential evolution. GECCO 2006: 1265-1272 | |
| 69 | Toshihiko Yanase, Hitoshi Iba: Evolutionary motion design for humanoid robots. GECCO 2006: 1825-1832 | |
| 68 | Nasimul Noman, Hitoshi Iba: Inference of genetic networks using S-system: information criteria for model selection. GECCO 2006: 263-270 | |
| 67 | Topon Kumar Paul, Hitoshi Iba: Identification of weak motifs in multiple biological sequences using genetic algorithm. GECCO 2006: 271-278 | |
| 66 | Shotaro Kamio, Hitoshi Iba: Object Transportation Using Two Humanoid Robots Based on Multi-agent Path Planning Algorithm. IAS 2006: 318-325 | |
| 65 | Shotaro Kamio, Hitoshi Iba: Cooperative Object Transport with Humanoid Robots using RRT Path Planning and Re-Planning. IROS 2006: 2608-2613 | |
| 64 | Shotaro Kamio, Hitoshi Iba: Search Algorithm of the Order of Object Transportation by Multiple Robots. IROS 2006: 4097-4102 | |
| 63 | Deniz Aydemir, Hitoshi Iba: Evolutionary Behavior Acquisition for Humanoid Robots. PPSN 2006: 651-660 | |
| 2005 | ||
| 62 | Kohsuke Yanai, Hitoshi Iba: Probabilistic distribution models for EDA-based GP. GECCO 2005: 1775-1776 | |
| 61 | Nasimul Noman, Hitoshi Iba: Inference of gene regulatory networks using s-system and differential evolution. GECCO 2005: 439-446 | |
| 60 | Topon Kumar Paul, Hitoshi Iba: Extraction of informative genes from microarray data. GECCO 2005: 453-460 | |
| 59 | Nasimul Noman, Hitoshi Iba: Enhancing differential evolution performance with local search for high dimensional function optimization. GECCO 2005: 967-974 | |
| 58 | Shotaro Kamio, Hitoshi Iba: Adaptation technique for integrating genetic programming and reinforcement learning for real robots. IEEE Trans. Evolutionary Computation 9(3): 318-333 (2005) | |
| 57 | Hideyuki Takagi, Hitoshi Iba: Interactive Evolutionary Computation. New Generation Comput. 23(2): (2005) | |
| 2004 | ||
| 56 | Topon Kumar Paul, Hitoshi Iba: Identification of Informative Genes for Molecular Classification Using Probabilistic Model Building Genetic Algorithm. GECCO (1) 2004: 414-425 | |
| 55 | Yutaka Inoue, Takahiro Tohge, Hitoshi Iba: Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots. GECCO (1) 2004: 590-602 | |
| 54 | Kohsuke Yanai, Hitoshi Iba: Program Evolution by Integrating EDP and GP. GECCO (1) 2004: 774-785 | |
| 53 | Hongwei Liu, Hitoshi Iba: Humanoid Robot Programming Based on CBR Augmented GP. GECCO (2) 2004: 708-709 | |
| 52 | Yoshihiko Hasegawa, Hitoshi Iba: Multimodal Search with Immune Based Genetic Programming. ICARIS 2004: 330-341 | |
| 51 | Shin Ando, Hitoshi Iba: Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. Genetic Programming and Evolvable Machines 5(2): 145-156 (2004) | |
| 50 | Hitoshi Iba, Takahiro Tohge, Yutaka Inoue: Cooperative Transportation by Humanoid Robots - Solving Piano Movers' Problem. Int. J. Hybrid Intell. Syst. 1(3-4): 189-201 (2004) | |
| 2003 | ||
| 49 | Shin Ando, Hitoshi Iba: Artificial Immune System for Classification of Cancer. EvoWorkshops 2003: 1-10 | |
| 48 | Shotaro Kamio, Hongwei Liu, Hideyuki Mitsuhasi, Hitoshi Iba: Researches on Ingeniously Behaving Agents. Evolvable Hardware 2003: 218-230 | |
| 47 | Topon Kumar Paul, Hitoshi Iba: Reinforcement Learning Estimation of Distribution Algorithm. GECCO 2003: 1259-1270 | |
| 46 | Hongwei Liu, Hitoshi Iba: Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption. GECCO 2003: 1715-1718 | |
| 45 | Hiromi Wakaki, Hitoshi Iba: AVICE: Evolving Avatar's Movernent. GECCO 2003: 1816-1817 | |
| 44 | Shin Ando, Hitoshi Iba: Artificial Immune System for Classification of Gene Expression Data. GECCO 2003: 1926-1937 | |
| 43 | Shusuke Saeki, Kiyoshi Asai, Katsutoshi Takahashi, Yutaka Ueno, Katsunori Isono, Hitoshi Iba: GA-Based Inference of Euler Angles for Single Particle Analysis. GECCO 2003: 2288-2300 | |
| 42 | Shotaro Kamio, Hideyuki Mitsuhasi, Hitoshi Iba: Integration of Genetic Programming and Reinforcement Learning for Real Robots. GECCO 2003: 470-482 | |
| 41 | Yutaka Inoue, Takahiro Tohge, Hitoshi Iba: Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning. HIS 2003: 1124-1134 | |
| 40 | Topon Kumar Paul, Hitoshi Iba: Optimization in Continuous Domain by Real-coded Estimation of Distribution Algorithm. HIS 2003: 262-271 | |
| 39 | Shin Ando, Hitoshi Iba: Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. IEEE Congress on Evolutionary Computation (1) 2003: 207-214 | |
| 38 | Shotaro Kamio, Hitoshi Iba: Real-time adaptation technique to real robots: an experiment with a humanoid robot. IEEE Congress on Evolutionary Computation (1) 2003: 506-513 | |
| 37 | Nikolay I. Nikolaev, Hitoshi Iba: Polynomial harmonic GMDH learning networks for time series modeling. Neural Networks 16(10): 1527-1540 (2003) | |
| 2002 | ||
| 36 | Shin Ando, Hitoshi Iba: Ant Algorithm For Construction Of Evolutionary Tree. GECCO 2002: 131 | |
| 35 | Hitoshi Iba, Erina Sakamoto: Inference Of Differential Equation Moels By Genetic Programming. GECCO 2002: 788-795 | |
| 34 | Hitoshi Iba, N. Tokui, Hiromi Wakaki: 3D-CG Avatar Motion Design by means of Interactive Evolutionary Computation. HIS 2002: 540-549 | |
| 33 | Atsushi Mimura, Hitoshi Iba: Inference of a Gene Regulatory Network by Means of Interactive Evolutionary Computing. JCIS 2002: 1243-1248 | |
| 32 | Shin Ando, Erina Sakamoto, Hitoshi Iba: Evolutionary Modeling and Inference by Genetic Network. JCIS 2002: 1249-1256 | |
| 31 | Hitoshi Iba, Atsushi Mimura: Inference of a gene regulatory network by means of interactive evolutionary computing. Inf. Sci. 145(3-4): 225-236 (2002) | |
| 30 | Shin Ando, Erina Sakamoto, Hitoshi Iba: Evolutionary modeling and inference of gene network. Inf. Sci. 145(3-4): 237-259 (2002) | |
| 29 | Nikolay I. Nikolaev, Hitoshi Iba: Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform. Int. J. Neural Syst. 12(5): 399-410 (2002) | |
| 2001 | ||
| 28 | Kohsuke Yanai, Hitoshi Iba: Multi-agent Robot Learning by Means of Genetic Programming: Solving an Escape Problem. ICES 2001: 192-203 | |
| 27 | Nikolay I. Nikolaev, Hitoshi Iba: Accelerated Genetic Programming of Polynomials. Genetic Programming and Evolvable Machines 2(3): 231-257 (2001) | |
| 26 | Nikolay I. Nikolaev, Hitoshi Iba: Regularization approach to inductive genetic programming. IEEE Trans. Evolutionary Computation 5(4): 359-375 (2001) | |
| 2000 | ||
| 25 | Hitoshi Iba, Makoto Terao: Controlling Effective Introns for Multi-Agent Learning by Genetic Programming. GECCO 2000: 419-426 | |
| 24 | Masaya Iwata, Isamu Kajitani, Masahiro Murakawa, Yuji Hirao, Hitoshi Iba, Tetsuya Higuchi: Pattern recognition system using evolvable hardware. Systems and Computers in Japan 31(4): 1-11 (2000) | |
| 1999 | ||
| 23 | Nikolay I. Nikolaev, Hitoshi Iba: Automated Discovery of Polynomials by Inductive Genetic Programming. PKDD 1999: 456-461 | |
| 22 | John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo: Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Trans. Evolutionary Computation 3(2): 159-161 (1999) | |
| 1998 | ||
| 21 | Takuya Ito, Hitoshi Iba, Satoshi Sato: Non-destructive Depth-Dependent Crossover for Genetic Programming. EuroGP 1998: 71-82 | |
| 20 | Hitoshi Iba: Evolutionary Learning of Communicating Agents. Inf. Sci. 108(1-4): 181-206 (1998) | |
| 1996 | ||
| 19 | Hitoshi Iba, Masaya Iwata, Tetsuya Higuchi: Machine Learning Approach to Gate-Level Evolvable Hardware. ICES 1996: 327-343 | |
| 18 | Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu: Evolution of Binary Decision Diagrams for Digital Circuit Design Using Genetic Programming. ICES 1996: 470-481 | |
| 17 | Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu: An Approach for Genetic Synthesizer of Binary Decision Diagram. International Conference on Evolutionary Computation 1996: 559-564 | |
| 16 | Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu: Sharing and Refinement for Reusable Subroutines of Genetic Programming. International Conference on Evolutionary Computation 1996: 565-570 | |
| 15 | Hitoshi Iba: Random Tree Generation for Genetic Programming. PPSN 1996: 144-153 | |
| 14 | Hitoshi Iba: Emergent Cooperation for Multiple Agents Using Genetic Programming. PPSN 1996: 32-41 | |
| 13 | Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu: Robust GP in Robot Learning. PPSN 1996: 751-760 | |
| 12 | Masaya Iwata, Isamu Kajitani, Hitoshi Yamada, Hitoshi Iba, Tetsuya Higuchi: A Pattern Recognition System Using Evolvable Hardware. PPSN 1996: 761-770 | |
| 1995 | ||
| 11 | Hitoshi Iba, Taisuke Sato, Hugo de Garis: Temporal Data Processing Using Genetic Programming. ICGA 1995: 279-286 | |
| 10 | Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya, Bernard Manderick: Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. Towards Evolvable Hardware 1995: 118-135 | |
| 9 | Hitoshi Iba, Hugo de Garis, Taisuke Sato: A Numerical Approach to Genetic Programming for System Identification. Evolutionary Computation 3(4): 417-452 (1995) | |
| 1994 | ||
| 8 | Hitoshi Iba, Taisuke Sato, Hugo de Garis: System Identification Approach to Genetic Programming. International Conference on Evolutionary Computation 1994: 401-406 | |
| 7 | Hitoshi Iba, Hugo de Garis, Taisuke Sato: Genetic Programming with Local Hill-Climbing. PPSN 1994: 302-311 | |
| 6 | Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick: Applying Evolvable Hardware to Autonomous Agents. PPSN 1994: 524-533 | |
| 1993 | ||
| 5 | Hitoshi Iba, Takio Kurita, Hugo de Garis, Taisuke Sato: System Identification using Structured Genetic Algorithms. ICGA 1993: 279-286 | |
| 4 | Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato: Evolutionary Learning Strategy using Bug-Based Search. IJCAI 1993: 960-966 | |
| 1992 | ||
| 3 | Hitoshi Iba, Sumitaka Akiba, Tetsuya Higuchi, Taisuke Sato: BUGS: A Bug-Based Search Strategy using Genetic Algorithms. PPSN 1992: 167- | |
| 2 | Hugo de Garis, Hitoshi Iba, Tatsumi Furuya: Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes. PPSN 1992: 495-504 | |
| 1991 | ||
| 1 | Hitoshi Iba, Hirochika Inoue: Reasoning of Geometric Concepts based on Algebraic Constraint-directed Method. IJCAI 1991: 143-151 | |