Hiroyuki Sato - RankMe

154 papers A 11B 47C 7Journal 29Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Impact of Static/Dynamic Tournament Sizing in Evolutionary Multi- and Many-Objective Optimization. J. Adv. Comput. Intell. Intell. Informatics Yuta Nakanishi, Mamoru Doi, Hiroyuki Sato
2026	—	`conf`	Meta Deep Reinforcement Learning Based on Supervised Learning of Correspondence between Model Parameters and Reward Functions as Externally Conditioned Queries. ICAART (5) Takumi Kuitani, Hiroyuki Sato, Keiki Takadama
2026	J	`jnl`	Saccade-Mimicking Grid Cell Network for Image Recognition. J. Adv. Comput. Intell. Intell. Informatics Yuichi Matsuda, Kazuma Niwa, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2025	A	`conf`	Adaptive Multi-Population Dynamic Optimization for Multimodal Dynamic Function Optimization. GECCO Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	B	`conf`	Controlling an Exploration in Unbounded Search Space by Novelty-Based Multi-Objectivization. CEC Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	J	`jnl`	Corrugated Board Production Planning via Multi-Objective Evolutionary Optimization With Variable Dependency-Based Variation. IEEE Access Iori Minakawa, Shio Kawakami, Hiroyuki Miyashita, Takashi Fujio, Tsutomu Iida, Hiroyuki Sato
2025	—	`conf`	Estimation of Complicated Pareto Front Geometry in Evolutionaly Multiobjective Optimization. ISMSI Kazuki Shiraishi, Keiki Takadama, Hiroyuki Sato
2025	B	`conf`	Limitation of Adapting to Continuously Changing Optimization Problem and Its Solution in Swarm Optimization. CEC Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	B	`conf`	Multi-objective optimization of flight schedules considering Constraint Tolerance based on Local Search and Archives. CEC Tomoki Ishizuka, Hiroyuki Sato, Keiki Takadama
2025	J	`jnl`	Multi-objective optimization of flight schedules to maximize constraint tolerance by local search and archive mechanisms. Artif. Life Robotics Tomoki Ishizuka, Akinori Murata, Hiroyuki Sato, Keiki Takadama
2025	B	`conf`	Multitask Knapsack Problems with Scalable Objective and Constraint Similarities: Behavioral Analysis of Evolutionary Multi-Factorial Algorithms. CEC Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2025	J	`jnl`	Novelty-based multi-objectivization for unbounded search space optimization. Artif. Life Robotics Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025	J	`jnl`	PPS-DMIA: Directed Mating With Infeasible Solution Archive in Push and Pull Search for Constrained Multi-Objective Optimization. IEEE Access Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2025	—	`conf`	Partial Ensemble Estimation for Complex-Shaped Pareto Fronts. ISMSI Kosuke Kikawada, Naru Okumura, Keiki Takadama, Hiroyuki Sato
2025	B	`conf`	Real-World Cardboard Production Optimization Using Multi-Objective Evolutionary Algorithms. CEC Iori Minakawa, Shio Kawakami, Hiroyuki Miyashita, Tsutomu Iida, Hiroyuki Sato
2024	A	`conf`	Approximating Pareto Local Optimal Solution Networks. GECCO Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Design of Generalized and Specialized Helper Objectives for Multi-objective Continuous Optimization Problems. CEC Keigo Mochizuki, Tomoki Ishizuka, Naoya Yatsu, Hiroyuki Sato, Keiki Takadama
2024	B	`conf`	Designing Helper Objectives in Multi-Objectivization. CEC Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Evolutionary Constrained Multi-Factorial Optimization Based on Task Similarity. CEC Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	From Multipoint Search to Multiarea Search: Novelty-Based Multi-Objectivization for Unbounded Search Space Optimization. CEC Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2024	—	`conf`	Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. GECCO Companion Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2024	—	`conf`	Image Recognition Imitating Saccadic Eye Movement in Grid Cell Net. SCIS/ISIS Yuichi Matsuda, Kazuma Niwa, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Multi-layer Cortical Learning Algorithm for Forecasting Time-series Data with Smoothly Changing Variation Patterns. IJCNN Kazushi Fujino, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Pareto Front Estimation Model Optimization for Aggregative Solution Set Representation. CEC Naru Okumura, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Prototype Generation with the sUpervised Classifier System on kNN Matching. CEC Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2024	B	`conf`	Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization. CEC Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2024	B	`conf`	Should Multi-objective Evolutionary Algorithms Use Always Best Non-dominated Solutions as Parents? CEC Kazuma Sato, Naru Okumura, Keiki Takadama, Hiroyuki Sato
2024	—	`conf`	The Impact of Tournament Size on the Performance of Evolutionary Multi-Objective and Many-Objective Algorithms. SCIS/ISIS Yuta Nakanishi, Mamoru Doi, Hiroyuki Sato
2023	J	`jnl`	Adaptive action-prediction cortical learning algorithm under uncertain environments. Int. J. Hybrid Intell. Syst. Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2023	J	`jnl`	Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making. IEEE Access Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2023	A	`conf`	Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. GECCO Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2023	—	`ch.`	Many-Objective Quality Measures. Many-Criteria Optimization and Decision Analysis Bekir Afsar, Jonathan E. Fieldsend, Andreia P. Guerreiro, Kaisa Miettinen, Sebastian Rojas-Gonzalez, Hiroyuki Sato
2023	B	`conf`	Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes. EvoCOP Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato
2023	C	`conf`	Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. EMO Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2023	—	`conf`	Pareto Front Upconvert on Multi-objective Building Facility Control Optimization. GECCO Companion Naru Okumura, Tomoaki Takagi, Yoshihiro Ohta, Hiroyuki Sato
2023	B	`conf`	Toward Unbounded Search Space Exploration by Particle Swarm Optimization in Multi-Modal Optimization Problem. CEC Ryuki Ishizawa, Tomoya Kuga, Yusuke Maekawa, Hiroyuki Sato, Keiki Takadama
2022	A	`conf`	Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	—	`conf`	Adaptive Synapse Adjustment for Multivariate Cortical Learning Algorithm. SCIS/ISIS Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2022	B	`conf`	Beta Distribution based XCS Classifier System. CEC Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama
2022	A	`conf`	Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	B	`conf`	Digital Twin Based Evolutionary Building Facility Control Optimization. CEC Kohei Fukuhara, Ryo Kumagai, Fukawa Yuta, Shin-ichi Tanabe, Hiroki Kawano, Yoshihiro Ohta, Hiroyuki Sato
2022	B	`conf`	Evolutionary Real-world Item Stock Allocation for Japanese Electric Commerce. CEC Yasuyuki Mitsui, Yuki Yamakoshi, Hiroyuki Sato
2022	B	`conf`	Impacts of Single-objective Landscapes on Multi-objective Optimization. CEC Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato
2022	B	`conf`	Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. EvoApplications Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama
2022	—	`conf`	Solution Archive and Its Re-use in Evolutionary Many-objective Facility Control Optimization. SCIS/ISIS Naru Okumura, Yoshihiro Ohta, Hiroyuki Sato
2022	B	`conf`	Supervised Multi-Objective Optimization Algorithm Using Estimation. CEC Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2022	—	`conf`	Synergistic Effect of Adaptive Synapse Arrangement and Column-based Decoder in Cortical Learning Algorithm. SCIS/ISIS Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2022	B	`conf`	XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. CEC Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2021	J	`jnl`	Adaptive Synapse Arrangement in Cortical Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2021	—	`conf`	Alzheimer Dementia Detection based on Circadian Rhythm Disorder of Heartrate. LifeTech Naoya Matsuda, Iko Nakari, Ryotaro Arai, Hiroyuki Sato, Keiki Takadama, Masanori Hirose, Hiroshi Hasegawa, Makoto Shiraishi, Takahide Matsuda
2021	—	`conf`	Double-Layered Cortical Learning Algorithm for Time-Series Prediction. BICT Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2021	B	`conf`	Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm Based on Decomposition. EvoApplications Sho Kajihara, Hiroyuki Sato, Keiki Takadama
2021	B	`conf`	Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. CEC Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
2021	—	`conf`	Misclassification detection based on conditional VAE for rule evolution in learning classifier system. GECCO Companion Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
2021	—	`conf`	Multi-factorial Evolutionary Algorithm Using Objective Similarity Based Parent Selection. BICT Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2021	C	`conf`	Pareto Front Estimation Using Unit Hyperplane. EMO Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2021	B	`conf`	Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA. CEC Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2021	B	`conf`	XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data. CEC Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama
2020	—	`conf`	A Fake News Dissemination Model Based on Updating Reliability and Doubt among Individuals. iCAST Kento Yoshikawa, Takumi Awa, Risa Kusano, Hiroyuki Sato, Masatsugu Ichino, Hiroshi Yoshiura
2020	—	`conf`	Column-based Decoder of Internal Prediction Representation in Cortical Learning Algorithms. SCIS/ISIS Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2020	C	`conf`	Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking. HIS Shio Kawakami, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	B	`conf`	Evolutionary Air-Conditioning optimization Using an LSTM-Based Surrogate Evaluator. CEC Yoshihiro Ohta, Takafumi Sasakawa, Hiroyuki Sato
2020	—	`conf`	Evolutionary many-objective optimization. GECCO Companion Hisao Ishibuchi, Hiroyuki Sato
2020	—	`conf`	Incremental lattice design of weight vector set. GECCO Companion Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	B	`conf`	Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS. CEC Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2020	B	`conf`	Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms. CEC Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	—	`conf`	Preliminary study of adaptive grid-based decomposition on many-objective evolutionary optimization. GECCO Companion Kensuke Kano, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2020	J	`jnl`	Self-Structured Cortical Learning Algorithm by Dynamically Adjusting Columns and Cells. J. Adv. Comput. Intell. Intell. Informatics Sotetsu Suzugamine, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2020	—	`conf`	Visual mapping of multi-objective optimization problems and evolutionary algorithms. GECCO Companion Kohei Yamamoto, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2019	—	`conf`	A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms. BICT Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
2019	B	`conf`	Complex-Valued-based Learning Classifier System for POMDP Environments. CEC Keiki Takadama, Daichi Yamazaki, Masaya Nakata, Hiroyuki Sato
2019	B	`conf`	Evolutionary Optimization of Air-conditioning Schedule Robust for Temperature Forecast Errors. CEC Yoshihiro Ohta, Hiroyuki Sato
2019	—	`conf`	Evolutionary many-objective optimization. GECCO (Companion) Hisao Ishibuchi, Hiroyuki Sato
2019	C	`conf`	Evolving Generalized Solutions for Robust Multi-objective Optimization: Transportation Analysis in Disaster. EMO Keiki Takadama, Keiji Sato, Hiroyuki Sato
2019	B	`conf`	Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models. CEC Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2019	B	`conf`	Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. CEC Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2019	C	`conf`	Simultaneous Local Adaptation for Different Local Properties. IES Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama
2019	—	`conf`	Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor. SSCI Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama
2018	—	`conf`	A Study on a Cortical Learning Algorithm Dynamically Adjusting Columns and Cells. SCIS&ISIS Sotetsu Suzugamine, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2018	—	`conf`	Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changes. GECCO (Companion) Ryo Takano, Hiroyuki Sato, Keiki Takadama
2018	A	`conf`	Directed mating in decomposition-based MOEA for constrained many-objective optimization. GECCO Minami Miyakawa, Hiroyuki Sato, Yuji Sato
2018	—	`conf`	Effects of Duplication Operator in Evolutionary Simultaneous Design Optimization of Multiple Cars. SCIS&ISIS Minami Miyakawa, Hiroyuki Sato, Haruka Matsumoto, Mariko Tanaka, Mikiko Sato, Yuji Sato
2018	—	`conf`	Evolutionary multi-objective air-conditioning schedule optimization for office buildings. GECCO (Companion) Yoshihiro Ohta, Hiroyuki Sato
2018	—	`conf`	Infeasible solution repair and MOEA/D sharing weight vectors for solving multi-objective set packing problems. GECCO (Companion) Mariko Tanaka, Yuki Yamagishi, Hidetoshi Nagai, Hiroyuki Sato
2018	—	`conf`	Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental change. GECCO (Companion) Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2018	—	`conf`	XCSR based on compressed input by deep neural network for high dimensional data. GECCO (Companion) Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2017	—	`conf`	An improved MOEA/D utilizing variation angles for multi-objective optimization. GECCO (Companion) Hiroyuki Sato, Minami Miyakawa, Keiki Takadama
2017	B	`conf`	Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution. CEC Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2017	A	`conf`	Automatic adjustment of selection pressure based on range of reward in learning classifier system. GECCO Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2017	J	`jnl`	Learning Classifier System Based on Mean of Reward. J. Adv. Comput. Intell. Intell. Informatics Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
2017	—	`conf`	Multi-objetive optimization problem mapping based on algorithmic parameter rankings. SSCI Motoaki Kakuguchi, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2017	—	`conf`	Strategies to Improve Cuckoo Search Toward Adapting Randomly Changing Environment. ICSI (1) Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2017	—	`conf`	Towards Adaptive Aircraft Landing Order with Aircraft Routes Partially Fixed by Air Traffic Controllers as Human Intervention. HCI (4) Akinori Murata, Hiroyuki Sato, Keiki Takadama
2017	—	`conf`	Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems. GECCO (Companion) Minami Miyakawa, Hiroyuki Sato, Yuji Sato
2017	J	`jnl`	XCSR Learning from Compressed Data Acquired by Deep Neural Network. J. Adv. Comput. Intell. Intell. Informatics Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	B	`conf`	A modified cuckoo search algorithm for dynamic optimization problems. CEC Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama
2016	J	`jnl`	Chain-reaction solution update in MOEA/D and its effects on multi- and many-objective optimization. Soft Comput. Hiroyuki Sato
2016	J	`jnl`	Controlling selection areas of useful infeasible solutions for directed mating in evolutionary constrained multi-objective optimization. Ann. Math. Artif. Intell. Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2016	B	`conf`	Enhanced decomposition-based many-objective optimization using supplemental weight vectors. CEC Hiroyuki Sato, Satoshi Nakagawa, Minami Miyakawa, Keiki Takadama
2016	—	`conf`	Evolutionary Algorithmic Parameter Optimization of MOEAs for Multiple Multi-objective Problems. SCIS&ISIS Motoaki Kakuguchi, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2016	—	`conf`	Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs
2016	B	`conf`	Learning classifier system with deep autoencoder. CEC Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	J	`jnl`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. EAI Endorsed Trans. Self Adapt. Syst. Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	—	`conf`	Personalized Real-Time Sleep Stage from Past Sleep Data to Today's Sleep Estimation. HCI (5) Yusuke Tajima, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama
2016	—	`conf`	Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents. HCI (5) Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Akinori Murata, Hiroyuki Sato, Keiki Takadama
2016	—	`conf`	Variance-based Learning Classifier System without Convergence of Reward Estimation. GECCO (Companion) Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2015	—	`conf`	A Parallel MOEA/D Generating Solutions in Minimum Overlapped Update Ranges of Solutions. GECCO (Companion) Hiroyuki Sato, Minami Miyakawa, Elizabeth Pérez Cortés
2015	J	`jnl`	Adaptive Control of Dominance Area of Solutions in Evolutionary Many-Objective Optimization. New Math. Nat. Comput. Kouhei Tomita, Minami Miyakawa, Hiroyuki Sato
2015	J	`jnl`	Analysis of inverted PBI and comparison with other scalarizing functions in decomposition based MOEAs. J. Heuristics Hiroyuki Sato
2015	—	`conf`	Control of Crossed Genes Ratio for Directed Mating in Evolutionary Constrained Multi-Objective Optimization. GECCO (Companion) Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2015	B	`conf`	Directed mating using inverted PBI function for constrained multi-objective optimization. CEC Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2015	—	`conf`	Estimating surrounding symptom level of dementia patient by sleep stage. ISMICT Shingo Tomura, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, Makoto Aoki
2015	J	`jnl`	Evolutionary Algorithm for Uncertain Evaluation Function. New Math. Nat. Comput. Yusuke Tajima, Masaya Nakata, Hiroyasu Matsushima, Yoshihiro Ichikawa, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
2015	B	`conf`	Handling different level of unstable reward environment through an estimation of reward distribution in XCS. CEC Takato Tatsumi, Takahiro Komine, Hiroyuki Sato, Keiki Takadama
2015	B	`conf`	MOEA/D using constant-distance based neighbors designed for many-objective optimization. CEC Hiroyuki Sato
2015	J	`jnl`	Multi-objective Optimization for Common and Special Components: First Step Toward Network Optimization of Regular and Non-Regular Flights. New Math. Nat. Comput. Takahiro Jinba, Hiroto Kitagawa, Eriko Azuma, Keiji Sato, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
2015	—	`conf`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. BICT Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2015	B	`conf`	Ship route evolutionary optimization of multiple ship companies for distributed coordination of resources. CEC Keiki Takadama, Hiroyuki Sato, Daisuke Watanabe, Eriko Azuma, Takahiro Majima, Mitujiro Katuhara
2015	—	`conf`	Sightseeing plan recommendation system using sequential pattern mining based on adjacent activities. ASCC Takuma Fujitsuka, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, Tomohiro Yamaguchi
2015	B	`conf`	Toward robustness against environmental change speed by artificial bee colony algorithm based on local information sharing. CEC Ryo Takano, Hiroyuki Sato, Tomohiro Harada, Keiki Takadama
2014	—	`conf`	Adaptive Update Range of Solutions in MOEA/D for Multi and Many-Objective Optimization. SEAL Hiroyuki Sato
2014	J	`jnl`	Archive of Useful Solutions for Directed Mating in Evolutionary Constrained Multiobjective Optimization. J. Adv. Comput. Intell. Intell. Informatics Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2014	—	`conf`	Controlling Selection Area of Useful Infeasible Solutions in Directed Mating for Evolutionary Constrained Multiobjective Optimization. LION Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2014	A	`conf`	Controlling selection area of useful infeasible solutions and their archive for directed mating in evolutionary constrained multiobjective optimization. GECCO Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2014	A	`conf`	Inverted PBI in MOEA/D and its impact on the search performance on multi and many-objective optimization. GECCO Hiroyuki Sato
2014	—	`conf`	What is Needed to Promote an Asynchronous Program Evolution in Genetic Programing? LION Keiki Takadama, Tomohiro Harada, Hiroyuki Sato, Kiyohiko Hattori
2013	J	`jnl`	On the Impact of Path Redundancy Awareness in Evolutionary P2P Networking. J. Adv. Comput. Intell. Intell. Informatics Elizabeth Pérez Cortés, Hiroyuki Sato
2013	—	`conf`	Towards Understanding of Relationship among Pareto Optimal Solutions in Multi-dimensional Space via Interactive System. HCI (15) Keiki Takadama, Yuya Sawadaishi, Tomohiro Harada, Yoshihiro Ichikawa, Keiji Sato, Kiyohiko Hattori, Hiroyuki Sato, Tomohiro Yamaguchi
2013	A	`conf`	Two-stage non-dominated sorting and directed mating for solving problems with multi-objectives and constraints. GECCO Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2013	J	`jnl`	Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems. Ann. Math. Artif. Intell. Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2012	—	`conf`	Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization. LION Hiroyuki Sato, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka
2012	—	`conf`	An evolutionary algorithm using two-stage non-dominated sorting and directed mating for constrained multi-objective optimization. SCIS&ISIS Minami Miyakawa, Hiroyuki Sato
2012	—	`conf`	Dynamic control of the number of crossed genes in evolutionary many-objective optimization. SCIS&ISIS Hiroyuki Sato, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka
2011	—	`conf`	Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization. LION Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2011	A	`conf`	Improved S-CDAs using crossover controlling the number of crossed genes for many-objective optimization. GECCO Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2011	J	`jnl`	Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly. J. Adv. Comput. Intell. Intell. Informatics Masayuki Otani, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama
2011	J	`jnl`	Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer. J. Adv. Comput. Intell. Intell. Informatics Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama
2011	—	`conf`	The Biased Multi-objective Optimization Using the Reference Point: Toward the Industrial Logistics Network. ICMLA (2) Eriko Azuma, Tomohiro Shimada, Keiki Takadama, Hiroyuki Sato, Kiyohiko Hattori
2011	—	`conf`	What Kinds of Human Negotiation Skill Can Be Acquired by Changing Negotiation Order of Bargaining Agents? HCI (12) Keiki Takadama, Atsushi Otaki, Keiji Sato, Hiroyasu Matsushima, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato
2010	B	`conf`	Dynamic matching range in Exemplar-based Learning Classifier System. IEEE Congress on Evolutionary Computation Hiroyasu Matsushima, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama
2010	—	`conf`	Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization. PPSN (2) Tomohiro Shimada, Masayuki Otani, Hiroyasu Matsushima, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
2010	B	`conf`	Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization. IEEE Congress on Evolutionary Computation Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2010	—	`conf`	Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization. SEAL Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2009	J	`jnl`	Analysis of NSGA-II and NSGA-II with CDAS, and Proposal of an Enhanced CDAS Mechanism. J. Adv. Comput. Intell. Intell. Informatics Kyoko Tsuchida, Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2009	J	`jnl`	Local Dominance MOEA Including Control of Dominance Area of Solutions on 0/1 Multiobjective Knapsack Problems. Inf. Media Technol. Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2008	—	`conf`	Local dominance and controlling dominance area of solutions in multi and many objectives EAs. GECCO (Companion) Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2007	C	`conf`	Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs. EMO Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2007	J	`jnl`	Controlling Dominance Area of Solutions in Multiobjective Evolutionary Algorithms and Performance Analysis on Multiobjective 0/1 Knapsack Problems. Inf. Media Technol. Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2007	J	`jnl`	Enhancing Multiobjective Evolutionary Algorithms by Local Dominance and Local Recombination: Performance Verification in Multiobjective 0/1 Knapsack Problems. Inf. Media Technol. Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2007	—	`conf`	Local Dominance Including Control of Dominance Area of Solutions in MOEAs. MCDM Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2007	J	`jnl`	Local dominance and local recombination in MOEAs on 0/1 multiobjective knapsack problems. Eur. J. Oper. Res. Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2005	B	`conf`	On the locality of dominance and recombination in multiobjective evolutionary algorithms. Congress on Evolutionary Computation Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
2004	B	`conf`	Local dominance using polar coordinates to enhance multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka