This paper shows a method for the optimization of the design of a building integrated photovoltaic system minimizing costs over life-time, through the use of Radiance software, taking into account the constraints imposed by the architecture of the building and of the surroundings. It calculates the annual solar radiation in many spots of a surface (flat or complex) from a geometry defined by th...

The multistart clustering global optimization method called GLOBAL has been introduced in the 1980s for bound constrained global optimization problems with black-box type objective function. Since then the technological environment has been changed much. The present paper describes shortly the revisions and updates made on the involved algorithms to utilize the novel technologies, and to improv...

in this paper, according to high load capacity and rather large workspace characteristics of cable driven robots (cdrs), maximum dynamic load carrying capacity (dlcc) between two given end points in the workspace along with optimal trajectory is obtained. in order to find dlcc of cdrs, joint actuator torque and workspace of the robot constraints concerning to non-negative tension in cables are ...

In this paper, we propose a new descent method, called multiobjective memory gradient for finding Pareto critical points of optimization problem. The main thought in method is to select combination the current direction and past multi-step iterative information as search obtain stepsize by two types strategies. It proved that developed with suitable parameters always satisfies sufficient condit...

This paper presents a new method for global optimization. We use exact quadratic regularization the transformation of multimodal problems to problem maximum norm vector on convex set. Quadratic often allows you convert into unimodal problem. For this, we shift feasible region along bisector positive orthant. only local search (primal-dual interior point method) and dichotomy extremum in problem...

Most inductive learning systems generate complete and consistent descriptions. In order to achieve completeness and consistency in the presence of noise or imprecision. one may generate overly complex and detailed descriptions. Such descriptions. however. may not perform well in future cases and suffer the disadvantage of excessive complexity. This is th~ well known phenomenon of overfining, In...