業績をさがす - researchmap

A benchmark with facile adjustment of difficulty for many-objective genetic programming and its reference set.: Makoto Ohki

GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion 1915-1922 2020年査読有り

大木誠

An Effective Many-Objective Extension of Genetic Programming and Its Benchmark: Makoto Ohki

Proceedings - 2019 1st International Conference on Digital Data Processing, DDP 2019 92-96 2019年11月査読有り

大木誠

Multi-objective genetic programming with partial sampling and its extension to many-objective: Makoto Ohki

SN Applied Sciences 1(3) 2019年3月査読有り

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Linear Subset Size Scheduling for Many-objective Optimization using NSGA-II based on Pareto Partial Dominance.: Makoto Ohki

ICINCO 2018 - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics 1 287-293 2018年査読有り

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Partial sampling operator and tree-structural distance for multi-objective genetic programming: Makoto Ohki

IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence 110-117 2018年査読有り

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Many-Objective Nurse Scheduling using NSGA-II based on Pareto Partial Dominance with Linear Subset-size Scheduling.: Makoto Ohki

IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence 118-125 2018年査読有り

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Shift scheduling of short time workers in large-scale home improvement center by using cooperative evolution: Makoto Ohki

Mendel 23(1) 21-28 2017年6月1日査読有り

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A parameter free nurse scheduling: Makoto Ohki

IEEE International Conference on Fuzzy Systems 2015-November 1-7 2015年11月25日査読有り

大木誠

A parameter free nurse scheduling.: Makoto Ohki

2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015) 1-7 2015年査読有り

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Nurse Scheduling by Cooperative GA with Effective Virus Operator.: Makoto Ohki

Int. J. Appl. Evol. Comput. 5(1) 19-29 2014年査読有り

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An Effective Nurse Scheduling by a Parameter Free Cooperative GA.: Makoto Ohki, Satoru Kishida

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8602 955-966 2014年査読有り

大木誠

The new proposal of the calculation for the significance degree by once SOM learning - Using iris, gene, and Tof-SIMS data.: Matashige Oyabu, Heizo Tokutaka, Masaaki Ohkita, M. Seno, Makoto Ohki

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 1114-1119 2014年査読有り

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A parameter free algorithm of cooperative genetic algorithm for nurse scheduling problem.: Makoto Ohki, Satoru Kishida

Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 1201-1206 2013年査読有り

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Classification of chain-link and other data with spherical SOM: Masaaki Ohkita, Heizo Tokutaka, Makoto Ohki, Matashige Oyabu, Kikuo Fujimura

Advances in Intelligent Systems and Computing 198 AISC 35-44 2013年査読有り

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Verification of metabolic syndrome checkup data with a self-organizing map (SOM): Towards a simple judging tool: Heizo Tokutaka, Masaaki Ohkita, Nobuhiko Kasezawa, Makoto Ohki

Advances in Intelligent Systems and Computing 198 AISC 275-284 2013年査読有り

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Nurse Scheduling by Cooperative GA with Effective Mutation Operator: OHKI Makoto

IEICE transactions on information and systems 95(7) 1830-1838 2012年7月1日査読有り

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Periodic Mutation Operator for Nurse Scheduling by Using Cooperative GA.: Makoto Ohki

Int. J. Appl. Evol. Comput. 3(3) 1-16 2012年査読有り

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Effective operators using parallel processing for nurse scheduling by cooperative genetic algorithm.: Makoto Ohki

Int. J. Data Min. Model. Manag. 4(1) 57-73 2012年査読有り

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The Classification of the Chain-Link and Other Data by Spherical SOM: Heizo Tokutaka, Masaaki Ohkita, Makoto Ohki, Matashige Oyabu, Kikuo Fujimura

6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS 458-461 2012年査読有り

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Nurse Scheduling by Cooperative GA with Effective Mutation Operator.: Makoto Ohki

IEICE Trans. Inf. Syst. 95-D(7) 1830-1838 2012年査読有り

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An Experimental Application of Multi-Objective Evolutionary Algorithm to Many-Objective Nurse Scheduling for Real General Hospitals: Md Kawsar Khan, Haruto Takeuchi, Makoto Ohki

2021 36th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2021 2021年6月27日

大木誠

Reference Points Generated on Unit Hypersurfaces for MaOEAs: Haruto Takeuchi, Md Kawsar Khan, Makoto Ohki

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2021 614-619 2021年9月29日

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A Fundamental Technique Generating Reference Points on Hypersurfaces for MaOEAs: Makoto Ohki

SISY 2021 - IEEE 19th International Symposium on Intelligent Systems and Informatics, Proceedings 27-32 2021年9月16日

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Penalty weight adjustment in cooperative GA for nurse scheduling: Makoto Ohki, Hideaki Kinjo

Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011 75-80 2011年査読有り

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Verification of Applicability of MOEAs to Many-Objective GP Problem: Makoto Ohki

7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 837-842 2020年6月29日

大木誠

Effectiveness of NSGA-II with Linearly Scheduled Pareto-Partial Dominance for Practical Many-Objecitve Nurse Scheduling: Makoto Ohki

7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 581-586 2020年6月29日

大木誠

Effective mutation operator and parallel processing for nurse scheduling: Makoto Ohki, Shin Ya Uneme, Hikaru Kawano

Studies in Computational Intelligence 299 229-242 2010年査読有り

大木誠

Effectiveness of NSGA-II with Linearly Scheduled Pareto-Partial Dominance for Practical Many-Objecitve Nurse Scheduling.: Makoto Ohki

7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 581-586 2020年

大木誠

Verification of Applicability of MOEAs to Many-Objective GP Problem.: Makoto Ohki

7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 837-842 2020年

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Development Research on High-Performance Ultrasound Sensor System: Masaki Okugumo, Akihiko Kimura, Makoto Ohki, Masaaki Ohkita

ELECTRONICS AND COMMUNICATIONS IN JAPAN 92(5) 23-30 2009年5月査読有り

大木誠

Partial Sampling Operator and Structural Distance Ranking for Multi-Objective GP: Makoto Ohki

2018 INTERNATIONAL CONFERENCE ON COMPUTER AND APPLICATIONS (ICCA) 303-308 2018年査読有り

大木誠

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