| 2026 | GECCO | When Should Helper Functions Based on Fourier Transform be Terminated in Evolutionary Multi-Objective Optimization via Multi-objectivization? | Hiroto Imajo, Hitoshi Iba, Keiki Takadama |
| 2025 | CEC | Large Language Models as Particle Swarm Optimizers. | Yamato Shinohara, Jinglue Xu, Tianshui Li, Hitoshi Iba |
| 2024 | CEC | Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. | Joo Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva |
| 2024 | CEC | Genetic Algorithm-Based Robot Path Planning with the Extraction of Topological Map. | Zhen Liu, Jinglue Xu, Hitoshi Iba |
| 2024 | CEC | ROIL: Rule Optimization via Large Language Model for Imitation Learning. | Yossathorn Tianrungroj, Hitoshi Iba |
| 2024 | GECCO | Exploring the Improvement of Evolutionary Computation via Large Language Models. | Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei |
| 2024 | GECCO | Lamarckian Co-design of Soft Robots via Transfer Learning. | Kazuaki Harada, Hitoshi Iba |
| 2023 | CEC | Continual Learning of LSTM Using Ant Colony Optimization. | Rikitaka Kinoyama, Nagar Anthel Venkatesh Suryanarayanan, Hitoshi Iba |
| 2023 | GECCO | MPENAS: Multi-fidelity Predictor-guided Evolutionary Neural Architecture Search with Zero-cost Proxies. | Jinglue Xu, Suryanarayanan N. A. V., Hitoshi Iba |
| 2023 | SMC | Image Generation with Diffusion Model by Interactive Evolutionary Computation. | Haruka Kobayashi, Adam Kotaro Pindur, Suryanarayanan Nagar Anthel Venkatesh, Hitoshi Iba |
| 2021 | CEC | Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. | Lushen Liao, Adam Kotaro Pindur, Hitoshi Iba |
| 2020 | IJCCI | Behavioral Locality in Genetic Programming. | Adam Kotaro Pindur, Hitoshi Iba |
| 2018 | SMC | GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine. | Hitoshi Iba, Ji Feng, Hossein Izadi Rad |
| 2018 | SMC | Musical Composition by Interactive Evolutionary Computation and Latent Space Modeling. | Naotake Masuda, Hitoshi Iba |
| 2017 | CEC | Coevolution of mapping functions for linear SVM. | Satish Kumar Jaiswal, Hitoshi Iba |
| 2016 | CEC | Optimization of artificial operon construction by consultation algorithms utilizing LCS. | Changhee Han, Kenji Tsuge, Hitoshi Iba |
| 2016 | CEC | Vanishing ideal genetic programming. | Hiroshi Kera, Hitoshi Iba |
| 2015 | CEC | Feature selection and classification using ensembles of genetic programs and within-class and between-class permutations. | Annica Ivert, Claus de Castro Aranha, Hitoshi Iba |
| 2015 | CEC | Evolutionary design of oscillatory genetic networks in silico. | Yuki Naruse, Hiroyuki Hamada, Taizo Hanai, Hitoshi Iba |
| 2015 | CEC | A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks. | Marco S. Nobile, Hitoshi Iba |
| 2014 | ALIFE | Constrained Group Counseling Optimization. | Mohammad A. Eita, Amin A. Shoukry, Hitoshi Iba |
| 2014 | CEC | Applying conversion matrix to robots for imitating motion using genetic algorithms. | Mari Nishiyama, Hitoshi Iba |
| 2013 | CEC | Messy Genetic Algorithm for evolving mathematical function evaluating variable length gene regulatory networks. | Dhammika S. Hettiarachchi, Nasimul Noman, Hitoshi Iba |
| 2013 | CEC | Extending Population Based Incremental Learning using Dirichlet Processes. | Leon Palafox, Nasimul Noman, Hitoshi Iba |
| 2013 | CEC | Learning non-linear ranking functions for web search using probabilistic model building GP. | Hiroyuki Sato, Danushka Bollegala, Yoshihiko Hasegawa, Hitoshi Iba |
| 2013 | HCI | Your Own Facial Parameter Generation for a 3D Avatar Interface Using an MRI Medical Image. | Hiroshi Dohi, Hitoshi Iba, Mitsuru Ishizuka |
| 2012 | CEC | On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory Networks. | Leon Palafox, Hitoshi Iba |
| 2012 | CEC | Probabilistic model building GP with Belief propagation. | Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba |
| 2012 | CEC | Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search. | Vishal Soam, Leon Palafox, Hitoshi Iba |
| 2012 | GECCO | The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation. | Kazuki Komiya, Nasimul Noman, Hitoshi Iba |
| 2012 | GECCO | Gene regulatory network reverse engineering using population based incremental learning and K-means. | Leon Palafox, Hitoshi Iba |
| 2011 | CEC | Evolving an effective robot tour guide. | Hideru Hiruma, Alex Fukunaga, Kazuki Komiya, Hitoshi Iba |
| 2011 | CEC | An adaptive differential evolution algorithm. | Nasimul Noman, Danushka Bollegala, Hitoshi Iba |
| 2011 | CEC | Solving dynamic economic dispatch problems using cellular differential evolution. | Nasimul Noman, Hitoshi Iba |
| 2011 | GECCO | RankDE: learning a ranking function for information retrieval using differential evolution. | Danushka Bollegala, Nasimul Noman, Hitoshi Iba |
| 2011 | GECCO | Imitation tendencies of local search schemes in baldwinian evolution. | Shu Liu, Hitoshi Iba |
| 2011 | GECCO | Differential evolution with self adaptive local search. | Nasimul Noman, Danushka Bollegala, Hitoshi Iba |
| 2011 | GECCO | A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing. | Badarch Tserenchimed, Shu Liu, Hitoshi Iba |
| 2011 | GECCO | Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm. | Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba |
| 2010 | GECCO | ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolution. | Makoto Tanji, Hitoshi Iba |
| 2009 | GECCO | Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. | Claus de Castro Aranha, Hitoshi Iba |
| 2009 | GECCO | Optimization of the trading rule in foreign exchange using genetic algorithm. | Akinori Hirabayashi, Claus de Castro Aranha, Hitoshi Iba |
| 2009 | GECCO | Program optimization by random tree sampling. | Makoto Tanji, Hitoshi Iba |
| 2009 | GECCO | Binary encoding for prototype tree of probabilistic model building GP. | Toshihiko Yanase, Yoshihiko Hasegawa, Hitoshi Iba |
| 2008 | GECCO | A tree-based GA representation for the portfolio optimization problem. | Claus de Castro Aranha, Hitoshi Iba |
| 2007 | CEC | Interactive composition aid system by means of tree representation of musical phrase. | Daichi Ando, Hitoshi Iba |
| 2007 | CEC | Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. | Claus de Castro Aranha, Hitoshi Iba |
| 2007 | CEC | Estimation of distribution algorithm based on probabilistic grammar with latent annotations. | Yoshihiko Hasegawa, Hitoshi Iba |
| 2006 | CEC | Optimizing Programs with Estimation of Bayesian Network. | Yoshihiko Hasegawa, Hitoshi Iba |
| 2006 | CEC | On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles. | Nasimul Noman, Hitoshi Iba |
| 2006 | CEC | Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier. | Topon Kumar Paul, Yoshihiko Hasegawa, Hitoshi Iba |
| 2006 | CEC | Evolutionary Morphology for Real Cubic Modular Robots. | Takahiro Tohge, Kenta Shimada, Hitoshi Iba |
| 2006 | CIBCB | Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease. | Topon Kumar Paul, Hitoshi Iba |
| 2006 | GECCO | Inference of genetic networks using S-system: information criteria for model selection. | Nasimul Noman, Hitoshi Iba |
| 2006 | GECCO | A new generation alternation model for differential evolution. | Nasimul Noman, Hitoshi Iba |
| 2006 | GECCO | Identification of weak motifs in multiple biological sequences using genetic algorithm. | Topon Kumar Paul, Hitoshi Iba |
| 2006 | GECCO | Evolutionary motion design for humanoid robots. | Toshihiko Yanase, Hitoshi Iba |
| 2006 | IAS | Object Transportation Using Two Humanoid Robots Based on Multi-agent Path Planning Algorithm. | Shotaro Kamio, Hitoshi Iba |
| 2006 | IROS | Cooperative Object Transport with Humanoid Robots using RRT Path Planning and Re-Planning. | Shotaro Kamio, Hitoshi Iba |
| 2006 | IROS | Search Algorithm of the Order of Object Transportation by Multiple Robots. | Shotaro Kamio, Hitoshi Iba |
| 2006 | PPSN | Evolutionary Behavior Acquisition for Humanoid Robots. | Deniz Aydemir, Hitoshi Iba |
| 2005 | GECCO | Inference of gene regulatory networks using s-system and differential evolution. | Nasimul Noman, Hitoshi Iba |
| 2005 | GECCO | Enhancing differential evolution performance with local search for high dimensional function optimization. | Nasimul Noman, Hitoshi Iba |
| 2005 | GECCO | Extraction of informative genes from microarray data. | Topon Kumar Paul, Hitoshi Iba |
| 2005 | GECCO | Probabilistic distribution models for EDA-based GP. | Kohsuke Yanai, Hitoshi Iba |
| 2005 | IROS | Random sampling algorithm for multi-agent cooperation planning. | Shotaro Kamio, Hitoshi Iba |
| 2004 | CEC | Real-coded GA with multimodal uniform distribution. | Shin Ando, Hitoshi Iba |
| 2004 | CEC | Object transportation by two humanoid robots using cooperative learning. | Yutaka Inoue, Takahiro Tohge, Hitoshi Iba |
| 2004 | CEC | Evolutionary construction of a simulator for real robots. | Shotaro Kamio, Hitoshi Iba |
| 2004 | CEC | A hierarchical approach for adaptive humanoid robot control. | Hongwei Liu, Hitoshi Iba |
| 2004 | CEC | Use of clustering to improve the layout of gene network for visualization. | Nasimul Noman, Kouichi Okada, Naoki Hosoyama, Hitoshi Iba |
| 2004 | CEC | Selection of the most useful subset of genes for gene expression-based classification. | Topon Kumar Paul, Hitoshi Iba |
| 2004 | GECCO | Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots. | Yutaka Inoue, Takahiro Tohge, Hitoshi Iba |
| 2004 | GECCO | Humanoid Robot Programming Based on CBR Augmented GP. | Hongwei Liu, Hitoshi Iba |
| 2004 | GECCO | Identification of Informative Genes for Molecular Classification Using Probabilistic Model Building Genetic Algorithm. | Topon Kumar Paul, Hitoshi Iba |
| 2004 | GECCO | Program Evolution by Integrating EDP and GP. | Kohsuke Yanai, Hitoshi Iba |
| 2003 | CEC | Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. | Shin Ando, Hitoshi Iba |
| 2003 | CEC | 3-D visualization of a gene regulatory network: stochastic search for layouts. | N. Hosoyma, Hitoshi Iba |
| 2003 | CEC | Real-time adaptation technique to real robots: an experiment with a humanoid robot. | Shotaro Kamio, Hitoshi Iba |
| 2003 | CEC | Multi-agent learning by evolutionary subsumption. | Hongwei Liu, Hitoshi Iba |
| 2003 | CEC | Estimation of distribution programming based on Bayesian network. | Kohsuke Yanai, Hitoshi Iba |
| 2003 | GECCO | Artificial Immune System for Classification of Gene Expression Data. | Shin Ando, Hitoshi Iba |
| 2003 | GECCO | Integration of Genetic Programming and Reinforcement Learning for Real Robots. | Shotaro Kamio, Hideyuki Mitsuhasi, Hitoshi Iba |
| 2003 | GECCO | Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption. | Hongwei Liu, Hitoshi Iba |
| 2003 | GECCO | Reinforcement Learning Estimation of Distribution Algorithm. | Topon Kumar Paul, Hitoshi Iba |
| 2003 | GECCO | GA-Based Inference of Euler Angles for Single Particle Analysis. | Shusuke Saeki, Kiyoshi Asai, Katsutoshi Takahashi, Yutaka Ueno, Katsunori Isono, Hitoshi Iba |
| 2003 | GECCO | AVICE: Evolving Avatar's Movernent. | Hiromi Wakaki, Hitoshi Iba |
| 2003 | HIS | Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning. | Yutaka Inoue, Takahiro Tohge, Hitoshi Iba |
| 2003 | HIS | Optimization in Continuous Domain by Real-coded Estimation of Distribution Algorithm. | Topon Kumar Paul, Hitoshi Iba |
| 2003 | SMC | Turing-complete data structure for genetic programming. | Taro Yabuki, Hitoshi Iba |
| 2002 | CEC | Modeling genetic network by hybrid GP. | Shin Ando, Erina Sakamoto, Hitoshi Iba |
| 2002 | CEC | Island model GP with immigrants aging and depth-dependent crossover. | Makoto Iwashita, Hitoshi Iba |
| 2002 | CEC | Overfitting avoidance in genetic programming of polynomials. | Nikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba |
| 2002 | GECCO | Ant Algorithm For Construction Of Evolutionary Tree. | Shin Ando, Hitoshi Iba |
| 2002 | GECCO | Inference Of Differential Equation Moels By Genetic Programming. | Hitoshi Iba, Erina Sakamoto |
| 2002 | HIS | 3D-CG Avatar Motion Design by means of Interactive Evolutionary Computation. | Hitoshi Iba, N. Tokui, Hiromi Wakaki |
| 2001 | CEC | Inference of gene regulatory model by genetic algorithms. | Shin Ando, Hitoshi Iba |
| 2001 | CEC | Genetic programming of polynomial harmonic models using the discrete Fourier transform. | Nikolay I. Nikolaev, Hitoshi Iba |
| 2001 | CEC | Genetic programming of polynomial harmonic models using the discrete Fourier transform. | Nikolay I. Nikolaev, Hitoshi Iba |
| 2001 | CEC | Inferring a system of differential equations for a gene regulatory network by using genetic programming. | Erina Sakamoto, Hitoshi Iba |
| 2000 | CEC | Analog circuit design with a variable length chromosome. | Shin Ando, Hitoshi Iba |
| 2000 | CEC | Genetic programming polynomial models of financial data series. | Hitoshi Iba, Nikolay Nikolaev |
| 2000 | GECCO | Controlling Effective Introns for Multi-Agent Learning by Genetic Programming. | Hitoshi Iba, Makoto Terao |
| 1999 | CEC | Using genetic programming to predict financial data. | Hitoshi Iba, Takashi Sasaki |
| 1998 | EUROGP | Non-destructive Depth-Dependent Crossover for Genetic Programming. | Takuya Ito, Hitoshi Iba, Satoshi Sato |
| 1996 | ICEC | Sharing and Refinement for Reusable Subroutines of Genetic Programming. | Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu |
| 1996 | ICEC | An Approach for Genetic Synthesizer of Binary Decision Diagram. | Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu |
| 1996 | PPSN | Robust GP in Robot Learning. | Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu |
| 1996 | PPSN | Emergent Cooperation for Multiple Agents Using Genetic Programming. | Hitoshi Iba |
| 1996 | PPSN | Random Tree Generation for Genetic Programming. | Hitoshi Iba |
| 1996 | PPSN | A Pattern Recognition System Using Evolvable Hardware. | Masaya Iwata, Isamu Kajitani, Hitoshi Yamada, Hitoshi Iba, Tetsuya Higuchi |
| 1994 | ICEC | System Identification Approach to Genetic Programming. | Hitoshi Iba, Taisuke Sato, Hugo de Garis |
| 1994 | PPSN | Applying Evolvable Hardware to Autonomous Agents. | Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick |
| 1994 | PPSN | Genetic Programming with Local Hill-Climbing. | Hitoshi Iba, Hugo de Garis, Taisuke Sato |
| 1993 | IJCAI | Evolutionary Learning Strategy using Bug-Based Search. | Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato |
| 1992 | PPSN | Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes. | Hugo de Garis, Hitoshi Iba, Tatsumi Furuya |
| 1992 | PPSN | BUGS: A Bug-Based Search Strategy using Genetic Algorithms. | Hitoshi Iba, Sumitaka Akiba, Tetsuya Higuchi, Taisuke Sato |
| 1991 | IJCAI | Reasoning of Geometric Concepts based on Algebraic Constraint-directed Method. | Hitoshi Iba, Hirochika Inoue |
| 1988 | IROS | View and Visibility for Managing Incomplete Environmental Models. | Hitoshi Iba, Hitoshi Matsubara, Hirochika Inoue |