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Hitoshi Iima

Observed names: H. Iima, HITOSHI IIMA, Hitoshi IIMA, Iima Hitoshi
Observed institutions: National Institute of Technology, Toba College, Kagoshima University, Kyoto Institute of Technology, Kyoto University of Education, Furukawa Electric (Japan), Nisshin Steel (Japan), Furukawa Co., Ltd. (Japan), Kansai University
ORCID: 0000-0001-9596-8679
Observed ORCID: 0000-0001-9596-8679
OpenAlex ID: A5081026637
Models of Hopfield-Type Clifford Neural Networks and Their Energy Functions - Hyperbolic and Dual Valued Networks -
2011 · Yasuaki Kuroe, Shinpei Tanigawa, et al. · Lecture notes in computer science · 56
A new encoding scheme for solving job shop problems by genetic algorithm
2002 · Guoyong Shi, H. Iima, et al. · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · 42
Swarm reinforcement learning algorithms based on Sarsa method
2008 · Hitoshi Iima, Yasuaki Kuroe · SICE Annual Conference (SICE) · 33
A new design of genetic algorithm for bin packing
2004 · H. Iima, T. Yakawa · 29
Swarm reinforcement learning method based on ant colony optimization
2010 · Hitoshi Iima, Yasuaki Kuroe, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 23
Genetic algorithm for scheduling of parcel delivery by drones
2021 · Yohei HAZAMA, Hitoshi IIMA, et al. · Journal of Advanced Mechanical Design Systems and Manufacturing · 22
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Swarm reinforcement learning methods improving certainty of learning for a multi-robot formation problem
2015 · Hitoshi Iima, Yasuaki Kuroe · IEEE Congress on Evolutionary Computation (CEC) · 22
Swarm reinforcement learning algorithms based on particle swarm optimization
2008 · Hitoshi Iima, Yasuaki Kuroe · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 21
Reinforcement Learning through Interaction among Multiple Agents
2006 · Hitoshi Iima, Yasuaki Kuroe · SICE-ICASE International Joint Conference · 21
A model of Hopfield-type octonion neural networks and existing conditions of energy functions
2016 · Yasuaki Kuroe, Hitoshi Iima · 20
LSTM forecasting foreign exchange rates using limit order book
2021 · Katsuki Ito, Hitoshi Iima, et al. · Finance research letters · 19
Swarm Reinforcement Learning Method for a Multi-robot Formation Problem
2013 · Hitoshi Iima, Yasuaki Kuroe · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 17
Proposition of Genetic Algorithm for Bin Packing Problems
2005 · Tetsuya YAKAWA, Hitoshi IIMA, et al. · Transactions of the Society of Instrument and Control Engineers · 10
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Autonomous decentralized scheduling algorithm for a job-shop scheduling problem with complicated constraints
2003 · H. Iima, T. Hara, et al. · 10
Application of genetic algorithm to scheduling problems in manufacturing processes
2002 · N. Sannomiya, H. Iima · IEEE International Conference on Evolutionary Computation (ICEC) · 10
Swarm reinforcement learning methods for problems with continuous state-action space
2011 · Hitoshi Iima, Yasuaki Kuroe, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 9
Swarm reinforcement learning algorithms -exchange of information among multiple agents-
2007 · Hitoshi Iima, Yasuaki Kuroe · SICE Annual Conference (SICE) · 9
Swarm Reinforcement Learning Algorithm Based on Exchanging Information among Agents
2006 · Hitoshi IIMA, Yasuaki KUROE · Transactions of the Society of Instrument and Control Engineers · 9
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Nonlinear Optimization Method Based on Stochastic Gradient Descent for Fast Convergence
2018 · Takahiro Watanabe, Hitoshi Iima · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 8
Application of genetic algorithm to a large-scale scheduling problem for a metal mold assembly process
2003 · N. Sannomiya, H. Iima, et al. · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · 8
Proposition of Module Type Genetic Algorithm and Its Application to Modified Scheduling Problems with Worker Allocation
2002 · Hitoshi Iima, Nobuo Sannomiya · IEEJ Transactions on Electronics Information and Systems · 8
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Genetic Algorithm Approach to a Scheduling Problem for a Complex Manufacturing System
1998 · Nobuo Sannomiya, Hitoshi Iima, et al. · IFAC Proceedings Volumes · 8
Improving generalization ability in a puzzle game using reinforcement learning
2017 · Hiroya Oonishi, Hitoshi Iima · IEEE Conference on Computational Intelligence and Games (CIG) · 7
Multi-objective reinforcement learning method for acquiring all pareto optimal policies simultaneously
2012 · Yusuke Mukai, Yasuaki Kuroe, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 7
Swarm Reinforcement Learning Algorithm Based on Particle Swarm Optimization Whose Personal Bests Have Lifespans
2009 · Hitoshi Iima, Yasuaki Kuroe · Lecture notes in computer science · 7
Works count: 136
Citation count: 619
H-index: 12
I10-index: 15
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