Publication details
Finding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms
| Authors | |
|---|---|
| Year of publication | 2006 |
| Type | Article in Proceedings |
| Conference | 20th International Conference on Informatics for Environmental Protection. Managing Environmental Knowledge |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | Genetic Algorithms; Optimization; Energy Management |
| Description | This paper presents a new way of finding the optimal solution of energetic remedial process. These solutions came 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 the solutions describing energetic equations from the other 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 the specific type of the distributed service oriented solution to meet the demands of computing and integration to the existing software environment. |
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