Tomohiro Hayashida

TL;DR: In this article, a novel electricity retail market model is presented in which elastic demands of consumers in a distribution network are traded at flexible selling prices offered by a retailer, and the main works are in three points: (1) Flexible and divided selling price settings over one day by the retailer, (2) flexible and elastic responses corresponding to the selling prices by different types of consumers, and (3) distribution network physical constraints to obtain the realistic cost of tariff for usage of the distribution network imposed to the retailer are formulated.

TL;DR: An efficient approximate algorithm for solving k-minimum spanning tree problems which is one of the combinatorial optimization in networks and a new hybrid algorithm based on tabu search and ant colony optimization is provided.

TL;DR: Computational experiments are demonstrated to demonstrate validity of the proposed decision making framework and some findings revealed by introducing the rational response of the consumer.

TL;DR: Examining effective policies for financing and activities for the preservation of the forest on Mount Ryuoh in the city of Higashi-Hiroshima by multiattribute utility analysis finds the most effective solution among several alternatives by deriving preference of the decision maker.

TL;DR: A new evolutionary multiobjective optimization method for automatically optimizing the network topology of recurrent neural networks that involves a procedure of intensively exploring a region including solutions with small training errors in the Pareto frontier.