A concept of the VRSDP/SD problem (Vehicle Routing, Scheduling, and Dispatching Problem with Single Depot) and its formularization are proposed in order to bridge the gap between conventional methods and complex situations in the real world. A HIMS model (a calculation model with HIerarchical Multiplex Structure), is also proposed for the VRSDP/SD problem. It contains 3 levels:Atom level (system energies can be controlled by a heuristic method), Molecular level (system properties can be adjusted by a heuristic method and an optimum calculation), and Individual level (system architecture can be modified by fuzzy inference). Experiments with two cases (full or partial working), are performed, which 39 gasoline stations are serviced by 10 tank lorries with daily deliveries for an oil company in the Izu peninsula area of Japan. The experimental results and the evaluations by experts from practice show that the HIMS model provides a feasible, fast, and efficient tool for the application in the real world VRSDP/SD problem.

There are many researches about planning problems on robot behaviors. Task planning problem is known as one of these problems. Main researches are planning a procedure of actions and it is difficult to combine some actions into a new action. In this point of view, we researched planning problem. In this paper, we introduce parameterized behavior and show the architecture using the behavior. We use the proposed method for six legged locomotion robot. This robot has walking mechanism and vertically articulated manipulator. We give this robot a task and confirm validity of this architecture with simulation by computer.

In recent years, the operation planning of district heating and cooling plants has been arousing interest as a result of development of cooling load prediction methods for district heating and cooling systems. In this paper, we formulate an operation planning problem of a district heating and cooling plant as a nonlinear 0-1 programming problem. Realizing that there does not exist an efficient exact solution method and the problem involves hundreds of variables, we propose an approximate solution method using genetic algorithms for the formulated nonlinear 0-1 programming problem. Furthermore, we investigate the feasibility and effectiveness of the proposed method for an operation planning problem of an actual district heating and cooling plant.

In fuzzy modeling, several techniques for constructing fuzzy reasoning rules have been proposed. In this study, we propose a constructing technique for fuzzy reasoning models considered correlation of rules. This technique will be referred to as correlation type fuzzy reasoning models. In order to show the effectiveness, some numerical simulations were performed. As a result, fuzzy reasoning models were obtained, with a higher precision and a few rules. Further, the problem of overlapping rules was solved by combining correlation type fuzzy models with the deleting type fuzzy models.