View and Visibility for Managing Incomplete Environmental Models. - Hitoshi Iba; Hitoshi Matsubara; Hirochika Inoue (IROS, 1988)

Reasoning of Geometric Concepts based on Algebraic Constraint-directed Method. - Hitoshi Iba; Hirochika Inoue (IJCAI, 1991)

Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes. - Hugo de Garis; Hitoshi Iba; Tatsumi Furuya (PPSN, 1992)

BUGS: A Bug-Based Search Strategy using Genetic Algorithms. - Hitoshi Iba; Sumitaka Akiba; Tetsuya Higuchi; Taisuke Sato (PPSN, 1992)

System Identification using Structured Genetic Algorithms. - Hitoshi Iba; Takio Kurita; Hugo de Garis; Taisuke Sato (ICGA, 1993)

Evolutionary Learning Strategy using Bug-Based Search. - Hitoshi Iba; Tetsuya Higuchi; Hugo de Garis; Taisuke Sato (IJCAI, 1993)

System Identification Approach to Genetic Programming. - Hitoshi Iba; Taisuke Sato; Hugo de Garis (International Conference on Evolutionary Computation, 1994)

Applying Evolvable Hardware to Autonomous Agents. - Tetsuya Higuchi; Hitoshi Iba; Bernard Manderick (PPSN, 1994)

Genetic Programming with Local Hill-Climbing. - Hitoshi Iba; Hugo de Garis; Taisuke Sato (PPSN, 1994)

Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. - Tetsuya Higuchi; Masaya Iwata; Isamu Kajitani; Hitoshi Iba; Yuji Hirao; Tatsumi Furuya; Bernard Manderick (Towards Evolvable Hardware, 1995)

Temporal Data Processing Using Genetic Programming. - Hitoshi Iba; Taisuke Sato; Hugo de Garis (ICGA, 1995)

A Numerical Approach to Genetic Programming for System Identification. - Hitoshi Iba; Hugo de Garis; Taisuke Sato (Evol. Comput., 1995)

Sharing and Refinement for Reusable Subroutines of Genetic Programming. - Naohiro Hondo; Hitoshi Iba; Yukinori Kakazu (International Conference on Evolutionary Computation, 1996)

An Approach for Genetic Synthesizer of Binary Decision Diagram. - Hidenori Sakanashi; Tetsuya Higuchi; Hitoshi Iba; Yukinori Kakazu (International Conference on Evolutionary Computation, 1996)

Machine Learning Approach to Gate-Level Evolvable Hardware. - Hitoshi Iba; Masaya Iwata; Tetsuya Higuchi (ICES, 1996)

Evolution of Binary Decision Diagrams for Digital Circuit Design Using Genetic Programming. - Hidenori Sakanashi; Tetsuya Higuchi; Hitoshi Iba; Yukinori Kakazu (ICES, 1996)

Robust GP in Robot Learning. - Naohiro Hondo; Hitoshi Iba; Yukinori Kakazu (PPSN, 1996)

Emergent Cooperation for Multiple Agents Using Genetic Programming. - Hitoshi Iba (PPSN, 1996)

Random Tree Generation for Genetic Programming. - Hitoshi Iba (PPSN, 1996)

A Pattern Recognition System Using Evolvable Hardware. - Masaya Iwata; Isamu Kajitani; Hitoshi Yamada; Hitoshi Iba; Tetsuya Higuchi (PPSN, 1996)

Non-destructive Depth-Dependent Crossover for Genetic Programming. - Takuya Ito; Hitoshi Iba; Satoshi Sato (EuroGP, 1998)

Evolutionary Learning of Communicating Agents. - Hitoshi Iba (Inf. Sci., 1998)

Using genetic programming to predict financial data. - Hitoshi Iba; Takashi Sasaki (CEC, 1999)

Automated Discovery of Polynomials by Inductive Genetic Programming. - Nikolay I. Nikolaev; Hitoshi Iba (PKDD, 1999)

Genetic Programming 1998: Proceedings of the Third Annual Conference. - 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 (IEEE Trans. Evol. Comput., 1999)

Analog circuit design with a variable length chromosome. - Shin Ando; Hitoshi Iba (CEC, 2000)

Genetic programming polynomial models of financial data series. - Hitoshi Iba; Nikolay Nikolaev (CEC, 2000)

Controlling Effective Introns for Multi-Agent Learning by Genetic Programming. - Hitoshi Iba; Makoto Terao (GECCO, 2000)

Pattern recognition system using evolvable hardware. - Masaya Iwata; Isamu Kajitani; Masahiro Murakawa; Yuji Hirao; Hitoshi Iba; Tetsuya Higuchi (Syst. Comput. Jpn., 2000)

Inference of gene regulatory model by genetic algorithms. - Shin Ando; Hitoshi Iba (CEC, 2001)

Genetic programming of polynomial harmonic models using the discrete Fourier transform. - Nikolay I. Nikolaev; Hitoshi Iba (CEC, 2001)

Inferring a system of differential equations for a gene regulatory network by using genetic programming. - Erina Sakamoto; Hitoshi Iba (CEC, 2001)

Multi-agent Robot Learning by Means of Genetic Programming: Solving an Escape Problem. - Kohsuke Yanai; Hitoshi Iba (ICES, 2001)

Accelerated Genetic Programming of Polynomials. - Nikolay I. Nikolaev; Hitoshi Iba (Genet. Program. Evolvable Mach., 2001)

Regularization approach to inductive genetic programming. - Nikolay I. Nikolaev; Hitoshi Iba (IEEE Trans. Evol. Comput., 2001)

Modeling genetic network by hybrid GP. - Shin Ando; Erina Sakamoto; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2002)

Island model GP with immigrants aging and depth-dependent crossover. - Makoto Iwashita; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2002)

Overfitting avoidance in genetic programming of polynomials. - Nikolay I. Nikolaev; Lilian M. de Menezes; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2002)

Ant Algorithm For Construction Of Evolutionary Tree. - Shin Ando; Hitoshi Iba (GECCO, 2002)

Inference Of Differential Equation Moels By Genetic Programming. - Hitoshi Iba; Erina Sakamoto (GECCO, 2002)

3D-CG Avatar Motion Design by means of Interactive Evolutionary Computation. - Hitoshi Iba; N. Tokui; Hiromi Wakaki (HIS, 2002)

Evolutionary Modeling and Inference by Genetic Network. - Shin Ando; Erina Sakamoto; Hitoshi Iba (JCIS, 2002)

Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform. - Nikolay I. Nikolaev; Hitoshi Iba (Int. J. Neural Syst., 2002)

Evolutionary modeling and inference of gene network. - Shin Ando; Erina Sakamoto; Hitoshi Iba (Inf. Sci., 2002)

Inference of a gene regulatory network by means of interactive evolutionary computing. - Hitoshi Iba; Atsushi Mimura (Inf. Sci., 2002)

Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. - Shin Ando; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2003)

3-D visualization of a gene regulatory network: stochastic search for layouts. - N. Hosoyma; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2003)

Real-time adaptation technique to real robots: an experiment with a humanoid robot. - Shotaro Kamio; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2003)

Multi-agent learning by evolutionary subsumption. - Hongwei Liu; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2003)

Estimation of distribution programming based on Bayesian network. - Kohsuke Yanai; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2003)

Researches on Ingeniously Behaving Agents. - Shotaro Kamio; Hongwei Liu; Hideyuki Mitsuhasi; Hitoshi Iba (Evolvable Hardware, 2003)

Artificial Immune System for Classification of Cancer. - Shin Ando; Hitoshi Iba (EvoWorkshops, 2003)

Artificial Immune System for Classification of Gene Expression Data. - Shin Ando; Hitoshi Iba (GECCO, 2003)

Integration of Genetic Programming and Reinforcement Learning for Real Robots. - Shotaro Kamio; Hideyuki Mitsuhasi; Hitoshi Iba (GECCO, 2003)

Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption. - Hongwei Liu; Hitoshi Iba (GECCO, 2003)

Reinforcement Learning Estimation of Distribution Algorithm. - Topon Kumar Paul; Hitoshi Iba (GECCO, 2003)

GA-Based Inference of Euler Angles for Single Particle Analysis. - Shusuke Saeki; Kiyoshi Asai; Katsutoshi Takahashi; Yutaka Ueno; Katsunori Isono; Hitoshi Iba (GECCO, 2003)

AVICE: Evolving Avatar's Movernent. - Hiromi Wakaki; Hitoshi Iba (GECCO, 2003)

Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning. - Yutaka Inoue; Takahiro Tohge; Hitoshi Iba (HIS, 2003)

Optimization in Continuous Domain by Real-coded Estimation of Distribution Algorithm. - Topon Kumar Paul; Hitoshi Iba (HIS, 2003)

Turing-complete data structure for genetic programming. - Taro Yabuki; Hitoshi Iba (SMC, 2003)

Particle swarm optimization with Gaussian mutation. - Natsuki Higashi; Hitoshi Iba (SIS, 2003)

Polynomial harmonic GMDH learning networks for time series modeling. - Nikolay I. Nikolaev; Hitoshi Iba (Neural Networks, 2003)

Learning polynomial feedforward neural networks by genetic programming and backpropagation. - Nikolay Y. Nikolaev; Hitoshi Iba (IEEE Trans. Neural Networks, 2003)

Real-coded GA with multimodal uniform distribution. - Shin Ando; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

Object transportation by two humanoid robots using cooperative learning. - Yutaka Inoue; Takahiro Tohge; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

Evolutionary construction of a simulator for real robots. - Shotaro Kamio; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

A hierarchical approach for adaptive humanoid robot control. - Hongwei Liu; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

Use of clustering to improve the layout of gene network for visualization. - Nasimul Noman; Kouichi Okada; Naoki Hosoyama; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

Selection of the most useful subset of genes for gene expression-based classification. - Topon Kumar Paul; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots. - Yutaka Inoue; Takahiro Tohge; Hitoshi Iba (GECCO (1), 2004)

Humanoid Robot Programming Based on CBR Augmented GP. - Hongwei Liu; Hitoshi Iba (GECCO (2), 2004)

Identification of Informative Genes for Molecular Classification Using Probabilistic Model Building Genetic Algorithm. - Topon Kumar Paul; Hitoshi Iba (GECCO (1), 2004)

Program Evolution by Integrating EDP and GP. - Kohsuke Yanai; Hitoshi Iba (GECCO (1), 2004)

Multimodal Search with Immune Based Genetic Programming. - Yoshihiko Hasegawa; Hitoshi Iba (ICARIS, 2004)

Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. - Shin Ando; Hitoshi Iba (Genet. Program. Evolvable Mach., 2004)

Cooperative Transportation by Humanoid Robots - Solving Piano Movers' Problem. - Hitoshi Iba; Takahiro Tohge; Yutaka Inoue (Int. J. Hybrid Intell. Syst., 2004)

Inference of gene regulatory networks using s-system and differential evolution. - Nasimul Noman; Hitoshi Iba (GECCO, 2005)

Enhancing differential evolution performance with local search for high dimensional function optimization. - Nasimul Noman; Hitoshi Iba (GECCO, 2005)

Extraction of informative genes from microarray data. - Topon Kumar Paul; Hitoshi Iba (GECCO, 2005)

Probabilistic distribution models for EDA-based GP. - Kohsuke Yanai; Hitoshi Iba (GECCO, 2005)

Random sampling algorithm for multi-agent cooperation planning. - Shotaro Kamio; Hitoshi Iba (IROS, 2005)

Interactive Evolutionary Computation. - Hideyuki Takagi; Hitoshi Iba (New Gener. Comput., 2005)

Adaptation technique for integrating genetic programming and reinforcement learning for real robots. - Shotaro Kamio; Hitoshi Iba (IEEE Trans. Evol. Comput., 2005)

Estimation of Distribution Programming: EDA-based Approach to Program Generation. - Kohsuke Yanai; Hitoshi Iba (Towards a New Evolutionary Computation, 2006)

Optimizing Programs with Estimation of Bayesian Network. - Yoshihiko Hasegawa; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2006)

On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles. - Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2006)

Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier. - Topon Kumar Paul; Yoshihiko Hasegawa; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2006)

Evolutionary Morphology for Real Cubic Modular Robots. - Takahiro Tohge; Kenta Shimada; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2006)

Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease. - Topon Kumar Paul; Hitoshi Iba (CIBCB, 2006)

Inference of genetic networks using S-system: information criteria for model selection. - Nasimul Noman; Hitoshi Iba (GECCO, 2006)

A new generation alternation model for differential evolution. - Nasimul Noman; Hitoshi Iba (GECCO, 2006)

Identification of weak motifs in multiple biological sequences using genetic algorithm. - Topon Kumar Paul; Hitoshi Iba (GECCO, 2006)

Evolutionary motion design for humanoid robots. - Toshihiko Yanase; Hitoshi Iba (GECCO, 2006)

Object Transportation Using Two Humanoid Robots Based on Multi-agent Path Planning Algorithm. - Shotaro Kamio; Hitoshi Iba (IAS, 2006)

Computer Aided Composition by Means of Interactive GP. - Daichi Ando; Palle Dahlstedt; Mats G. Nordahl; Hitoshi Iba (ICMC, 2006)

Cooperative Object Transport with Humanoid Robots using RRT Path Planning and Re-Planning. - Shotaro Kamio; Hitoshi Iba (IROS, 2006)

Search Algorithm of the Order of Object Transportation by Multiple Robots. - Shotaro Kamio; Hitoshi Iba (IROS, 2006)

Evolutionary Behavior Acquisition for Humanoid Robots. - Deniz Aydemir; Hitoshi Iba (PPSN, 2006)

Inferring Regulations in a Genomic Network from Gene Expression Profiles. - Nasimul Noman; Hitoshi Iba (Analysis of Biological Data: A Soft Computing Approach, 2007)

Interactive composition aid system by means of tree representation of musical phrase. - Daichi Ando; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2007)

Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. - Claus de Castro Aranha; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2007)

Estimation of distribution algorithm based on probabilistic grammar with latent annotations. - Yoshihiko Hasegawa; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2007)

Interactive GP with Tree Representation of Classical Music Pieces. - Daichi Ando; Palle Dahlstedt; Mats G. Nordahl; Hitoshi Iba (EvoWorkshops, 2007)

Cooperative transportation system for humanoid robots using simulation-based learning. - Yutaka Inoue; Takahiro Tohge; Hitoshi Iba (Appl. Soft Comput., 2007)

Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. - Nasimul Noman; Hitoshi Iba (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Application of a Memetic Algorithm to the Portfolio Optimization Problem. - Claus de Castro Aranha; Hitoshi Iba (Australasian Conference on Artificial Intelligence, 2008)

Improving Metrical Grammar with Grammar Expansion. - Makoto Tanji; Daichi Ando; Hitoshi Iba (Australasian Conference on Artificial Intelligence, 2008)

A tree-based GA representation for the portfolio optimization problem. - Claus de Castro Aranha; Hitoshi Iba (GECCO, 2008)

Evolutionary Multi-Objective Optimization for Biped Walking. - Toshihiko Yanase; Hitoshi Iba (SEAL, 2008)

Inference of differential equation models by genetic programming. - Hitoshi Iba (Inf. Sci., 2008)

A Bayesian Network Approach to Program Generation. - Yoshihiko Hasegawa; Hitoshi Iba (IEEE Trans. Evol. Comput., 2008)

Accelerating Differential Evolution Using an Adaptive Local Search. - Nasimul Noman; Hitoshi Iba (IEEE Trans. Evol. Comput., 2008)

Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. - Claus de Castro Aranha; Hitoshi Iba (GECCO, 2009)

Optimization of the trading rule in foreign exchange using genetic algorithm. - Akinori Hirabayashi; Claus de Castro Aranha; Hitoshi Iba (GECCO, 2009)

Program optimization by random tree sampling. - Makoto Tanji; Hitoshi Iba (GECCO, 2009)

Binary encoding for prototype tree of probabilistic model building GP. - Toshihiko Yanase; Yoshihiko Hasegawa; Hitoshi Iba (GECCO, 2009)

The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization. - Claus de Castro Aranha; Hitoshi Iba (Memetic Comput., 2009)

Prediction of Cancer Class with Majority Voting Genetic Programming Classifier Using Gene Expression Data. - Topon Kumar Paul; Hitoshi Iba (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Latent Variable Model for Estimation of Distribution Algorithm Based on a Probabilistic Context-Free Grammar. - Yoshihiko Hasegawa; Hitoshi Iba (IEEE Trans. Evol. Comput., 2009)

Emergence of Cooperation in a Bio-inspired Multi-agent System. - Hiroyuki Ishiwata; Nasimul Noman; Hitoshi Iba (Australasian Conference on Artificial Intelligence, 2010)

Cellular Differential Evolution Algorithm. - Nasimul Noman; Hitoshi Iba (Australasian Conference on Artificial Intelligence, 2010)

ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolution. - Makoto Tanji; Hitoshi Iba (GECCO, 2010)

Evolution of a yoga performing humanoid. - Dhammika S. Hettiarachchi; Hitoshi Iba (NaBIC, 2010)

A study on the computational efficiency of Baldwinian evolution. - Shu Liu; Hitoshi Iba (NaBIC, 2010)

Tuning selection pressure in differential evolution using local selection. - Nasimul Noman; Jiradej Vatanutanon; Hitoshi Iba (NaBIC, 2010)

Polynomial Selection: A new way to tune selective pressure. - Jiradej Vatanutanon; Nasimul Noman; Hitoshi Iba (NaBIC, 2010)

Reverse engineering gene regulatory network from microarray data using linear time-variant model. - Mitra Kabir; Nasimul Noman; Hitoshi Iba (BMC Bioinform., 2010)

Evolving an effective robot tour guide. - Hideru Hiruma; Alex Fukunaga; Kazuki Komiya; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2011)

An adaptive differential evolution algorithm. - Nasimul Noman; Danushka Bollegala; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2011)

Solving dynamic economic dispatch problems using cellular differential evolution. - Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2011)

RankDE: learning a ranking function for information retrieval using differential evolution. - Danushka Bollegala; Nasimul Noman; Hitoshi Iba (GECCO, 2011)

Imitation tendencies of local search schemes in baldwinian evolution. - Shu Liu; Hitoshi Iba (GECCO, 2011)

Differential evolution with self adaptive local search. - Nasimul Noman; Danushka Bollegala; Hitoshi Iba (GECCO, 2011)

A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing. - Badarch Tserenchimed; Shu Liu; Hitoshi Iba (GECCO (Companion), 2011)

Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm. - Jiradej Vatanutanon; Nasimul Noman; Hitoshi Iba (GECCO, 2011)

? constrained differential evolution for economic dispatch with valve-point effect. - Nasimul Noman; Hitoshi Iba (Int. J. Bio Inspired Comput., 2011)

Creating singing vocal expressions by means of interactive evolutionary computation. - Akio Watanabe; Hitoshi Iba (Int. J. Knowl. Eng. Soft Data Paradigms, 2011)

A Study on Computational Efficiency and Plasticity in Baldwinian Learning. - Shu Liu; Hitoshi Iba (J. Adv. Comput. Intell. Intell. Informatics, 2011)

On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory Networks. - Leon Palafox; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2012)

Probabilistic model building GP with Belief propagation. - Hiroyuki Sato; Yoshihiko Hasegawa; Danushka Bollegala; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2012)

Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search. - Vishal Soam; Leon Palafox; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2012)

The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation. - Kazuki Komiya; Nasimul Noman; Hitoshi Iba (GECCO (Companion), 2012)

Gene regulatory network reverse engineering using population based incremental learning and K-means. - Leon Palafox; Hitoshi Iba (GECCO (Companion), 2012)

An Improved Artificial Bee Colony Algorithm with Non-separable Operator. - Chaogang He; Nasimul Noman; Hitoshi Iba (ICHIT (1), 2012)

On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model. - Nasimul Noman; Leon Palafox; Hitoshi Iba (ICHIT (1), 2012)

Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control. - Alex Fukunaga; Hideru Hiruma; Kazuki Komiya; Hitoshi Iba (Genet. Program. Evolvable Mach., 2012)

Money in trees: How memes, trees, and isolation can optimize financial portfolios. - Claus de Castro Aranha; Carlos R. B. Azevedo; Hitoshi Iba (Inf. Sci., 2012)

Messy Genetic Algorithm for evolving mathematical function evaluating variable length gene regulatory networks. - Dhammika S. Hettiarachchi; Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2013)

Extending Population Based Incremental Learning using Dirichlet Processes. - Leon Palafox; Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2013)

Learning non-linear ranking functions for web search using probabilistic model building GP. - Hiroyuki Sato; Danushka Bollegala; Yoshihiko Hasegawa; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2013)

Evolution of Cheating DNA-based Agents Playing the Game of Rock-Paper-Scissors. - Nathanael Aubert; Quang Huy Dinh; Masami Hagiya; Hitoshi Iba; Teruo Fujii; Nicolas Bredèche; Yannick Rondelez (ECAL, 2013)

Your Own Facial Parameter Generation for a 3D Avatar Interface Using an MRI Medical Image. - Hiroshi Dohi; Hitoshi Iba; Mitsuru Ishizuka (HCI (29), 2013)

Evolving Genetic Networks for Synthetic Biology. - Nasimul Noman; Leon Palafox; Hitoshi Iba (New Gener. Comput., 2013)

Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization. - Leon Palafox; Nasimul Noman; Hitoshi Iba (IEEE Trans. Evol. Comput., 2013)

Constrained Group Counseling Optimization. - Mohammad A. Eita; Amin A. Shoukry; Hitoshi Iba (ALIFE, 2014)

Applying conversion matrix to robots for imitating motion using genetic algorithms. - Mari Nishiyama; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2014)

Oscillatory Synthetic biological System Construction using Interactive Evolutionary Computations. - Quang Huy Dinh; Nasimul Noman; Hitoshi Iba (J. Comput. Sci., 2014)

Feature selection and classification using ensembles of genetic programs and within-class and between-class permutations. - Annica Ivert; Claus de Castro Aranha; Hitoshi Iba (CEC, 2015)

Evolutionary design of oscillatory genetic networks in silico. - Yuki Naruse; Hiroyuki Hamada; Taizo Hanai; Hitoshi Iba (CEC, 2015)

A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks. - Marco S. Nobile; Hitoshi Iba (CEC, 2015)

Improved sampling using loopy belief propagation for probabilistic model building genetic programming. - Hiroyuki Sato; Yoshihiko Hasegawa; Danushka Bollegala; Hitoshi Iba (Swarm Evol. Comput., 2015)

An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems. - Quang Huy Dinh; Nathanael Aubert; Nasimul Noman; Teruo Fujii; Yannick Rondelez; Hitoshi Iba (IEEE Trans. Evol. Comput., 2015)

Optimization of artificial operon construction by consultation algorithms utilizing LCS. - Changhee Han; Kenji Tsuge; Hitoshi Iba (CEC, 2016)

Vanishing ideal genetic programming. - Hiroshi Kera; Hitoshi Iba (CEC, 2016)

Coevolution of mapping functions for linear SVM. - Satish Kumar Jaiswal; Hitoshi Iba (CEC, 2017)

Evolutionary Approach to Machine Learning and Deep Neural Networks - Neuro-Evolution and Gene Regulatory Networks - Hitoshi Iba (Springer, 2018)

Swarm Intelligence for Object Retrieval Applying Cooperative Transportation in Unknown Environments. - Ysmaldo Landaez; Hiroshi Dohi; Hitoshi Iba (ICRAI, 2018)

GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine. - Hitoshi Iba; Ji Feng; Hossein Izadi Rad (SMC, 2018)

Musical Composition by Interactive Evolutionary Computation and Latent Space Modeling. - Naotake Masuda; Hitoshi Iba (SMC, 2018)

Diversifying experiences in multi agent reinforcement learning. - N. A. V. Suryanarayanan; Hitoshi Iba (IWCIA, 2019)

Evolving Humanoid Robot Motions Based on Gene Regulatory Network. - Naoyuki Kawabata; Hitoshi Iba (ICARM, 2019)

Behavioral Locality in Genetic Programming. - Adam Kotaro Pindur; Hitoshi Iba (IJCCI, 2020)

Inverse Model Optimization by Differential Evolution to improve Neural Predictive Control. - Edgar Ademir Morales-Perez; Hitoshi Iba (SCIS/ISIS, 2020)

Parametric Genetic Programming. - Adam Kotaro Pindur; Takahiro Horiba; Hitoshi Iba (SCIS/ISIS, 2020)

Neuroevolution Architecture Backbone for X-ray Object Detection. - Kevin Richard G. Operiano; Hitoshi Iba; Wanchalerm Pora (SSCI, 2020)

Evolutionary Computation and Meta-heuristics. - Hitoshi Iba (Deep Neural Evolution, 2020)

Evolving Deep Neural Networks for X-ray Based Detection of Dangerous Objects. - Ryotaro Tsukada; Lekang Zou; Hitoshi Iba (Deep Neural Evolution, 2020)

Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. - Lushen Liao; Adam Kotaro Pindur; Hitoshi Iba (CEC, 2021)

LSTM Neural Network-based Predictive Control for a Robotic Manipulator. - Edgar Ademir Morales-Perez; Hitoshi Iba (ISEEIE, 2021)

Evolving Architectures With Gradient Misalignment Toward Low Adversarial Transferability. - Kevin Richard G. Operiano; Wanchalerm Pora; Hitoshi Iba; Hiroshi Kera (IEEE Access, 2021)

Evolutionary Optimization of Multi-step Dynamic Systems Learning. - Edgar Ademir Morales-Perez; Hitoshi Iba (ICMRE, 2022)

Isometric Convolutional Neural Networks for Bone Suppression of Multi-Planar Dual Energy Chest Radiograph. - Yossathorn Tianrungroj; Hitoshi Iba (IIAI-AAI, 2022)

Deep Learning-Based Inverse Modeling for Predictive Control. - Edgar Ademir Morales-Perez; Hitoshi Iba (IEEE Control. Syst. Lett., 2022)

Continual Learning of LSTM Using Ant Colony Optimization. - Rikitaka Kinoyama; Nagar Anthel Venkatesh Suryanarayanan; Hitoshi Iba (CEC, 2023)

MPENAS: Multi-fidelity Predictor-guided Evolutionary Neural Architecture Search with Zero-cost Proxies. - Jinglue Xu; Suryanarayanan N. A. V.; Hitoshi Iba (GECCO, 2023)

CT Reconstruction from X-ray Videos with Conditional GAN Image Translation. - Masayuki Fujita; Hitoshi Iba (IIAI-AAI, 2023)

GA-based Co-Design Algorithm with Successive Halving. - Shunsuke Katayama; Adam Kotaro Pindur; Hitoshi Iba (IIAI-AAI, 2023)

Research on Atari Games using Evolutionary Computation with Successive Halving. - Takuki Kurokawa; Hitoshi Iba (IIAI-AAI, 2023)

Lion Swarm Optimization for Base Station Placement. - Zhen Liu; Jinglue Xu; Hitoshi Iba (IIAI-AAI, 2023)

Image Generation with Diffusion Model by Interactive Evolutionary Computation. - Haruka Kobayashi; Adam Kotaro Pindur; Suryanarayanan Nagar Anthel Venkatesh; Hitoshi Iba (SMC, 2023)

Automatic Adaptation Rule Optimization via Large Language Models. - Yusei Ishimizu; Jialong Li 001; Jinglue Xu; Jinyu Cai; Hitoshi Iba; Kenji Tei (ACSOS-C, 2024)

Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. - João Eduardo Batista; Adam Kotaro Pindur; Hitoshi Iba; Sara Silva (CEC, 2024)

Genetic Algorithm-Based Robot Path Planning with the Extraction of Topological Map. - Zhen Liu; Jinglue Xu; Hitoshi Iba (CEC, 2024)

ROIL: Rule Optimization via Large Language Model for Imitation Learning. - Yossathorn Tianrungroj; Hitoshi Iba (CEC, 2024)

A PSO-CNN-BiLSTM Model for Predicting Leaf Area Index. - Dong Wang; Guoyuan Zhou 001; Jinglue Xu; João Eduardo Batista; Jia Guo; Hitoshi Iba (CyberSciTech, 2024)

Exploring the Improvement of Evolutionary Computation via Large Language Models. - Jinyu Cai; Jinglue Xu; Jialong Li 001; Takuto Yamauchi; Hitoshi Iba; Kenji Tei (GECCO Companion, 2024)

Lamarckian Co-design of Soft Robots via Transfer Learning. - Kazuaki Harada; Hitoshi Iba (GECCO, 2024)

Large Language Models Synergize with Automated Machine Learning. - Jinglue Xu; Jialong Li 001; Zhen Liu; Nagar Anthel Venkatesh Suryanarayanan; Guoyuan Zhou 001; Jia Guo; Hitoshi Iba; Kenji Tei (CoRR, 2024)

Large Language Models Synergize with Automated Machine Learning. - Jinglue Xu; Jialong Li 001; Zhen Liu; N. A. V. Suryanarayanan; Guoyuan Zhou 001; Jia Guo; Hitoshi Iba; Kenji Tei (Trans. Mach. Learn. Res., 2024)

Large Language Models as Particle Swarm Optimizers. - Yamato Shinohara; Jinglue Xu; Tianshui Li; Hitoshi Iba (CEC, 2025)

Complexity, interpretability and robustness of GP-based feature engineering in remote sensing. - João E. Batista; Adam Kotaro Pindur; Ana I. R. Cabral; Hitoshi Iba; Sara Silva (Swarm Evol. Comput., 2025)

Enhancing Reinforcement learning in 3-Dimensional Hydrophobic-Polar Protein Folding Model with Attention-based layers. - Peizheng Liu; Hitoshi Iba (CoRR, 2025)