Hitoshi Iima

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 16

Top Topics

Energy Function

Reinforcement Learning

Particle Swarm Optimization

Top Venues

Publications

Anamika Jha, Hitoshi Iima
CT to MRI Image Translation Using CycleGAN: A Deep Learning Approach for Cross-Modality Medical Imaging. ICAART (3) (2024)
Yasuaki Kuroe, Hitoshi Iima
Classes of Dilemma Problems and Their Multi-Agent Reinforcement Learning Method. IEEE Access 12 (2024)
Shintaro Tanaka, Hitoshi Iima
Accelerated Text Data Augmentation Using a Paraphrase Generation Model with Round-Trip Translation as a Supervisor. ICMLA (2023)
Riki Kataoka, Yoshiyuki Karuno, Hitoshi Iima
Drone Scheduling for Parcel Delivery with a Given Truck Route and Setup Times. SCIS/ISIS (2022)
Hitoshi Iima, Yoshiyuki Nakamura
Hyperheuristic Method Based on Deep Reinforcement Learning. IIAI-AAI (2022)
Hitoshi Iima, Yohei Hazama
Genetic Algorithm with Machine Learning to Estimate the Optimal Objective Function Values of Subproblems. ISMSI (2022)
Takanobu Yaguchi, Hitoshi Iima
Design of an Artificial Game Entertainer by Reinforcement Learning. CoG (2020)
Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda
Four Models of Hopfield-Type Octonion Neural Networks and Their Existing Conditions of Energy Functions. IJCNN (2020)
Hitoshi Iima, Keijiro Yokoyama
Differential Evolution Using Linkage Identification. ICTAI (2019)
Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda
Learning Method of Recurrent Spiking Neural Networks to Realize Various Firing Patterns using Particle Swarm Optimization. IJCCI (2019)
Hitoshi Iima, Hiroya Oonishi
Deep Learning for Designing an AI Player of the Puzzle Game Geometry Friends. CSII (2019)
Kazuki Nishisaka, Hitoshi Iima
Real-Coded Genetic Algorithm Realizing Fast Convergence by Reducing Its Population Size. ICTAI (2019)
Takahiro Watanabe, Hitoshi Iima
Nonlinear Optimization Method Based on Stochastic Gradient Descent for Fast Convergence. SMC (2018)
Teruhisa Hochin, Hiroki Nomiya, Hitoshi Iima, Morshed U. Chowdhury
A Smart Framework towards Providing Benefits for One and All. ACIT/CSII/BCD (2017)
Hiroya Oonishi, Hitoshi Iima
Improving generalization ability in a puzzle game using reinforcement learning. CIG (2017)
Yasuaki Kuroe, Hitoshi Iima
A model of Hopfield-type octonion neural networks and existing conditions of energy functions. IJCNN (2016)
Hitoshi Iima, Kazuhiro Shin-ike
Genetic Algorithms for Student Grouping Problems. SMC (2015)
Hitoshi Iima, Yasuaki Kuroe
Swarm reinforcement learning methods improving certainty of learning for a multi-robot formation problem. CEC (2015)
Hitoshi Iima, Yasuaki Kuroe
Multi-objective reinforcement learning for acquiring all Pareto optimal policies simultaneously - Method of determining scalarization weights. SMC (2014)
Hitoshi Iima, Yasuaki Kuroe
Swarm Reinforcement Learning Method for a Multi-robot Formation Problem. SMC (2013)
Yusuke Mukai, Yasuaki Kuroe, Hitoshi Iima
Multi-objective reinforcement learning method for acquiring all pareto optimal policies simultaneously. SMC (2012)
Yasuaki Kuroe, Shinpei Tanigawa, Hitoshi Iima
Models of Hopfield-Type Clifford Neural Networks and Their Energy Functions - Hyperbolic and Dual Valued Networks -. ICONIP (1) (2011)
Kazuhiro Shin-ike, Hitoshi Iima
A Method for Determining Classroom Seating Arrangements by Using Bioinformatics. Edutainment (2011)
Hitoshi Iima, Yasuaki Kuroe, Kazuo Emoto
Swarm reinforcement learning methods for problems with continuous state-action space. SMC (2011)
Hitoshi Iima, Yasuaki Kuroe
Swarm Reinforcement Learning Method Based on an Actor-Critic Method. SEAL (2010)
Hitoshi Iima, Yasuaki Kuroe, Shoko Matsuda
Swarm reinforcement learning method based on ant colony optimization. SMC (2010)
Hitoshi Iima, Yasuaki Kuroe
Swarm Reinforcement Learning Algorithm Based on Particle Swarm Optimization Whose Personal Bests Have Lifespans. ICONIP (2) (2009)
Kazuhiro Shin-ike, Hitoshi Iima
A method for Development of collaborative learning by using a neural network and a genetic algorithm. ISADS (2009)
Hitoshi Iima, Yasuaki Kuroe
Swarm reinforcement learning algorithms based on particle swarm optimization. SMC (2008)
Yasuaki Kuroe, Hitoshi Iima
A Learning Method for Synthesizing Spiking Neural Oscillators. IJCNN (2006)
Hitoshi Iima
Parallel genetic algorithm for a multiobjective rescheduling problem. Artificial Intelligence and Soft Computing (2006)
Hitoshi Iima
Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem. EMO (2005)
Hitoshi Iima, T. Yakawa
A new design of genetic algorithm for bin packing. IEEE Congress on Evolutionary Computation (2003)
Hitoshi Iima, Nobuo Sannomiya
Module type genetic algorithm for modified scheduling problems with worker allocation. ACC (2001)
Hitoshi Iima, Ryoichi Kudo, Nobuo Sannomiya, Yasunori Kobayashi
An autonomous decentralized scheduling algorithm for a scheduling problem in a metal mould assembly process. J. Intell. Manuf. 10 (2) (1999)
Hitoshi Iima, Tetsuya Hara, Norihisa Ichimi, Nobuo Sannomiya
Autonomous Decentralized Scheduling Algorithm for a Job-Shop Scheduling Problem with Complicated Constraints. ISADS (1999)
Hitoshi Iima, Ryoichi Kudo, Nobuo Sannomiya, Yasunori Kobayashi
An autonomous decentralized scheduling algorithm for a job shop process with a multi-function machine in parallel. ISADS (1997)
Nobuo Sannomiya, Hitoshi Iima
Application of Genetic Algorithm to Scheduling Problems in Manufacturing Processes. International Conference on Evolutionary Computation (1996)