A Macromodel of Mass and Energy Flow in Production Processes. - Hironori Hirata; Takeshi Fukao (IEEE Trans. Syst. Man Cybern., 1978)

A dynamic model of mass and energy flow in production systems: Material recycling and stability. - Hironori Hirata (IEEE Trans. Syst. Man Cybern., 1985)

A flow control algorithm for computer networks with two-teacher learning automata. - Fei Qian; Hironori Hirata (Syst. Comput. Jpn., 1991)

A flow network model based on information, and its stability: An application to ecological systems. - Hironori Hirata; Tatsuya Uno; Seiichi Koakutsu (System Modelling and Optimization, 1993)

Genetic simulated annealing for floorplan design. - Seiichi Koakutsu; Hironori Hirata (System Modelling and Optimization, 1993)

A Parallel Learning Cellular Automata for Combinatorial Optimization Problems. - Fei Qian; Hironori Hirata (International Conference on Evolutionary Computation, 1996)

An Immunity Based Genetic Algorithm and Its Application to the VLSI Floorplan Design Problem. - Isao Tazawa; Seiichi Koakutsu; Hironori Hirata (International Conference on Evolutionary Computation, 1996)

A parallel reinforcement computing model for function optimization problems. - Qian Fei; Shigeya Ikebou; Takashi Kusunoki; Jijun Wu; Hironori Hirata (SMC, 2000)

Method of crowd simulation by using multiagent on cellular automata. - Tomoki Hamagami; Hironori Hirata (IAT, 2003)

Q-Learning Automaton. - Fei Qian; Hironori Hirata (IAT, 2003)

An adjustment method of the number of states of Q-learning segmenting state space adaptively. - Tomoki Hamagami; Hironori Hirata (SMC, 2003)

Development of intelligent wheelchair acquiring autonomous, cooperative, and collaborative behavior. - Tomoki Hamagami; Hironori Hirata (SMC (4), 2004)

State space partitioning and clustering with sensor alignment for autonomous robots. - Tomoki Hamagami; Hironori Hirata (SMC, 2005)

Measurement of Underlying Cooperation in Multiagent Reinforcement Learning. - Sachiyo Arai; Yoshihisa Ishigaki; Hironori Hirata (PRIMA, 2008)

Constrained Optimization using the Lagrangian Method and the Improved Discrete Gradient Chaos Model. - Takashi Okamoto; Hironori Hirata (SMC, 2009)

Global optimization using a multi-point type quasi-chaotic optimization method with the simultaneous perturbation gradient approximation. - Takashi Okamoto; Hironori Hirata (SMC, 2010)

Constrained optimization using the quasi-chaotic optimization method with the exact penalty function and the sequential quadratic programming. - Takashi Okamoto; Hironori Hirata (SMC, 2011)

Chaotic Optimization Method without Initial Sampling Parameter Tuning - Empirical Comparisons of Two Approaches in Various Problems. - Takashi Okamoto; Hironori Hirata (SMC, 2013)

Global optimization using a multipoint type quasi-chaotic optimization method. - Takashi Okamoto; Hironori Hirata (Appl. Soft Comput., 2013)