Using Common Data Acquisition In A Database For Optimal Location And Distribution Problems
Free (open access)
J. Marasović & M. Čić
Finding optimal solutions in heuristic problems is based on intuitive and empirical rules that intelligently move one solution point to another, according to the model criteria. It is well known that each heuristic problem is specific and optimal solution achievements must be treated, from the very beginning, independently. In this paper we propose the original idea of common input data acquisition. Common databases can be easily transformed and used in more than one heuristic problem (location and distribution problems). We present the application of our own software, developed for creating such a database. Our idea and our contribution are based on work concerning different heuristic problems where all the efforts are motivated for optimum time, resource and money savings. Keywords: heuristic problems, location and distribution problems, input database. 1 Introduction Development of modern decision theory is confronted with many different and very large tasks, created, for example in economy, biology, communications, and automatic control. The problems are viewed as different systems with common mathematical characteristics to make optimal solution finding easier and faster. Different problems from human life can be commonly modelled with costs, capacities and specific positions in the chosen area. Models, in which all relevant variables are not quantifiable and are not related by appropriate mathematical functions, can be solved only with heuristic methods. The heuristic methods are based on intuitive and empirical rules. They are searching procedures that intelligently move one solution point to another
heuristic problems, location and distribution problems, input database.