Finding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms

Abstract

This paper will present a new way of finding the optimal solution of energetic remedial process, which comes as a result of optimization of energetic equations. The new artificial computation engine based on genetic algorithms which are commonly used for optimization in general has proved suitable for this problem domain as well. However, we developed solutions describing energetic equations from another point of view. They show the hidden characteristics which are not always easy to specify. Genetic algorithms often demand huge amount of computer time. We had to design a specific type of a distributed service oriented solution to meet the demands of computing and integration to the existing software environment3.