Kazutoshi Sakakibara

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This paper presents two new approaches for transforming a single-objective problem into a multi-objective problem. These approaches add new objectives to a problem to make it multi-objective and use a multi-objective optimization approach to solve the newly defined problem. The first approach is based on relaxation of the constraints of the problem and the(More)
This paper describes an integrative machine learning architecture of imitation learning and reinforcement learning. The learning architecture aims to help integration of the two learning process by generating internal rewards. After observing superiors, human learners usually start practicing through trial and error. Humans usually learn tasks through both(More)
We propose an autonomous decentralized method for multiple AGV robots under uncertain delivery requests. Transportation route plans of AGV robots are expected to minimize the transportation time without collisions among the robots in the systems. In our proposed methods, each robot as an agent computes its transportation route by referring to the static(More)
We study a decentralized solar energy network composed of multiple clusters, which correspond to households equipped with PV units, rechargeable batteries, electrical appliances, and an electric power router. Decentralized solar energy network is a new grid systems toward independence from existing power grid, and solar energy is main energy source for the(More)
Complex-valued Hopfield network is used to model the dynamics of a network of limit cycle oscillators, each of which emerges via Hopf bifurcation, to investigate the dependency of the network dynamics on a bifurcation parameter. As an application, a network of two complex-valued neurons is used as a central pattern generator model for a biped locomotion. A(More)
We focus on a timetabling problem of university makeup classes and construct a scheduling system based on man-machine interaction which enables to reveal the essential and additional information of the problem domain. In this problem, makeup classes which are requested by the lecturers have to be scheduled to a specified time slot under the hard/soft(More)
Dynamics of 2 types of complex-valued neural network is numerically analyzed. In [2], some mathematical properties of a mutually connected Hopfield-type network of non-rotating complex-valued neurons were shown, and the sufficient conditions of the existence of an energy function are derived for 2 types (Types A and B) of the activation function of the(More)
The phase synchronization in the complex-valued Hopfield network has been shown to be effective for a signal control in an area-wide urban traffic flow control. The basic idea of the original method is to attain the global effectiveness as a weighted summation of the local effectiveness. And the complex-valued Hopfield network is designed to converge to(More)