Masaya Nakata

According to our database, Masaya Nakata authored at least 52 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction.

Yuma Horaguchi, Masaya Nakata

Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms.

Kei Nishihara, Masaya Nakata

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems.

Takumi Sonoda, Masaya Nakata

IEEE Trans. Evol. Comput., 2022

Theoretical Analysis of Accuracy-Based Fitness on Learning Classifier Systems.

Rui Sugawara, Masaya Nakata

IEEE Access, 2022

Automatic Construction of Loading Algorithms With Interactive Genetic Programming.

Yusuke Hiruta, Kei Nishihara, Yuji Koguma, Masakazu Fujii, Masaya Nakata

IEEE Access, 2022

Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion.

Kei Nishihara, Masaya Nakata

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Learning Optimality Theory for Accuracy-Based Learning Classifier Systems.

Masaya Nakata, Will N. Browne

IEEE Trans. Evol. Comput., 2021

Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme.

Motoki Horiuchi, Masaya Nakata

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Convergence analysis of rule-generality on the XCS classifier system.

Yoshiki Nakamura, Motoki Horiuchi, Masaya Nakata

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework.

Kei Nishihara, Masaya Nakata

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Learning classifier systems: from principles to modern systems.

Anthony Stein, Masaya Nakata

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

An overview of LCS research from IWLCS 2019 to 2020.

David Pätzel, Anthony Stein, Masaya Nakata

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Self-adaptation of XCS learning parameters based on learning theory.

Motoki Horiuchi, Masaya Nakata

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

MOEA/D-S³: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization.

Takumi Sonoda, Masaya Nakata

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study.

Kei Nishihara, Masaya Nakata

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

How XCS can prevent misdistinguishing rule accuracy: a preliminary study.

Masaya Nakata, Will Neil Browne

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Complex-Valued-based Learning Classifier System for POMDP Environments.

Keiki Takadama, Daichi Yamazaki, Masaya Nakata, Hiroyuki Sato

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Investigation about Control of False Positive Rate for Automatic Sperm Detection in Assisted Reproductive Technology.

Hayato Sasaki, Masaya Nakata, Mizuki Yamamoto, Teppei Takeshima, Yasushi Yumura, Tomoki Hamagami

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Theoretical adaptation of multiple rule-generation in XCS.

Masaya Nakata, Will N. Browne, Tomoki Hamagami

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Approach to Clustering with Variance-Based XCS.

Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama

J. Adv. Comput. Intell. Intell. Informatics, 2017

An Analysis of Rule Deletion Scheme in XCS on Reinforcement Learning Problem.

Masaya Nakata, Tomoki Hamagami

J. Adv. Comput. Intell. Intell. Informatics, 2017

Effect of parameter sharing for multimodal deep autoencoders.

Hayato Sasaki, Masaya Nakata, Fumiya Hamatsu, Tomoki Hamagami

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

From Extraction to Generation of Design Information -Paradigm Shift in Data Mining via Evolutionary Learning Classifier System.

Kazuhisa Chiba, Masaya Nakata

Proceedings of the International Conference on Computational Science, 2017

Theoretical XCS parameter settings of learning accurate classifiers.

Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation.

Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

EAI Endorsed Trans. Self Adapt. Syst., 2016

Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach.

Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs

EAI Endorsed Trans. Collab. Comput., 2016

Extracting Different Abstracted Level Rule with Variance-Based LCS.

Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Proceedings in Adaptation, Learning and Optimization.

Masaya Nakata, Kazuhisa Chiba

Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents.

Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

Proceedings of the Human Interface and the Management of Information: Applications and Services, 2016

Variance-based Learning Classifier System without Convergence of Reward Estimation.

Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & Organization.

Karthik Kuber, Masaya Nakata, Kamran Shafi

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A modified cuckoo search algorithm for dynamic optimization problems.

Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Learning classifier system with deep autoencoder.

Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

XCS-DH: Minimal default hierarchies in XCS.

Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Evolutionary Algorithm for Uncertain Evaluation Function.

Yusuke Tajima, Masaya Nakata, Hiroyasu Matsushima, Yoshihiro Ichikawa, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama

New Math. Nat. Comput., 2015

Rule reduction by selection strategy in XCS with adaptive action map.

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama

Evol. Intell., 2015

XCS-SL: a rule-based genetic learning system for sequence labeling.

Masaya Nakata, Tim Kovacs, Keiki Takadama

Evol. Intell., 2015

Extracting both generalized and specialized knowledge by XCS using Attribute Tracking and Feedback.

Keiki Takadama, Masaya Nakata

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Detecting shoplifting from customer behavior data by extended XCS-SL: Towards feature extraction on class-imbalanced sequence data.

Minato Sato, Kotaro Usui, Masaya Nakata, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

How should Learning Classifier Systems cover a state-action space?

Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Messy Coding in the XCS Classifier System for Sequence Labeling.

Masaya Nakata, Tim Kovacs, Keiki Takadama

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System.

Kotaro Usui, Masaya Nakata, Keiki Takadama

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Archives-holding XCS Classifier System: A preliminary study.

Takahiro Komine, Masaya Nakata, Keiki Takadama

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Personalized real-time sleep stage remote monitoring system.

Yusuke Tajima, Masaya Nakata, Keiki Takadama

Proceedings of the 8th International Symposium on Medical Information and Communication Technology, 2014

Complete action map or best action map in accuracy-based reinforcement learning classifier systems.

Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A modified XCS classifier system for sequence labeling.

Masaya Nakata, Tim Kovacs, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Sleep Stage Estimation Using Synthesized Data of Heart Rate and Body Movement.

Yusuke Tajima, Masaya Nakata, Tomohiro Harada, Keiji Sato, Keiki Takadama

Proceedings of the 2014 AAAI Spring Symposia, 2014

2013

Selection strategy for XCS with adaptive action mapping.

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Simple compact genetic algorithm for XCS.

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

XCS with Adaptive Action Mapping.

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama

Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Enhancing Learning Capabilities by XCS with Best Action Mapping.

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011

Towards generalization by identification-based XCS in multi-steps problem.

Masaya Nakata, Fumiaki Sato, Keiki Takadama

Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011