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)
Most modifications on IEEE 802.11 DCF (distributed coordination function) so far have focused on updating of the CW (Contention Window) value and the carrier sense mechanism during a backoff interval is not considered. In this paper, we propose two novel schemes for DCF, which effectively utilize the carrier sense mechanism during backoff interval. The(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)
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)
O-glycosylation of the mammalian protein is investigated. It is serine or threonine specific, though any consensus sequence is still unknown. We have applied support vector machines (SVM) for the prediction of O-glycosylation sites from various kinds of protein information, aiming to investigate the condition for glycosylation and elucidate the mechanisms.(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)