There are several electricity generation technologies based on different sources such as wind, biomass, gas, coal, and so on. The consideration of the uncertainties associated with the future costs of such technologies is crucial for planning purposes. In the literature, the allocation of resources in the available technologies has been solved as a mean-variance optimization problem assuming kn...

It is well known that significant variations in stomach size, shape, and respiratory motion lead to uncertainties in target localization during treatment for gastric lymphoma. In this study, the usefulness of 4D-CT for radiation planning of gastric MZBCL/MALT was evaluated. Treatment planning using 4DCT (plan A) and conventional planning with a uniform margin (plan B) were compared using dose v...

This paper describes a 3-dimensional (3D) automated preoperative planning method of femoral component (stem) for total hip arthroplasty (THA). The stem planning is formulated as a optimization problem which determines implant parameters such as size, position, and rotation. An objective function is defined using the fitness between the femoral canal and the stem surface. In addition to the obje...

In this study a novel, user-independent automated planning technique was developed to objectively compare volumetric modulated arc therapy (VMAT) and intensity-modulated radiotherapy (IMRT) for nasopharyngeal carcinoma planning, and to determine which technique offers a greater benefit for parotid-sparing and dose escalation strategies. Ten patients were investigated, with a standard prescripti...

In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-based algorithm which gave very good results in computer games, and especially in Computer Go, with heuristic search in order to obtain an anytime planner that provides partial plans before finding a solution plan, and fu...

Domain analysis is the inference of knowledge, termed domain knowledge, which is implicit in the description of planning problems. For many planning techniques, the use of domain knowledge yields substantial improvements of performance. This paper is concerned with domain analysis in three different ways. Firstly, we propose the domain knowledge exchange language DKEL as a mean to represent dom...