Abstract
This paper deals with the two-level, partially stochastic optimization method named Two Level Adaptive Evolutionary Computation (TLAEC). New adaptation mechanism is embedded in the method. The aim of the paper is to present an algorithm based on TLAEC method, solving so-called development problem. A mathematical model of this problem assumes the form of mixed discrete-continuous programming. A concept of the algorithm is described in the paper and the proposed, new adaptation mechanism that is introduced in the algorithm is described in detail. The results of computation experiments as well as their analysis are also given.
Cite
CITATION STYLE
Dudek-Dyduch, E., & Jarczyk, D. (2004). Adaptive Evolutionary Computation -Application for mixed linear programming. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 406–413). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_59
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