Title :
Endocrine Control Evolutionary Algorithm
Author_Institution :
1 Decembrie 1918 Univ., Alba Iulia, Romania
Abstract :
The paper presents a new technique for the control of the population´s dynamic in evolutionary optimization. The technique is inspired by the endocrine system, respectively, by the control mechanism of the hormones concentration. The approach is suitable for multimodal optimization in static or dynamic environment. The major advantage of the proposal is given by the fact that there is no need of a supplementary mechanism for detecting the changes or an extra parameter for estimate the multiple optima vicinities.
Keywords :
evolutionary computation; dynamic environment; endocrine control evolutionary algorithm; hormones concentration; multimodal optimization; multiple optima vicinities estimation; population dynamic control; static environment; Aerospace electronics; Biochemistry; Endocrine system; Evolutionary computation; Glands; Heuristic algorithms; Optimization; dynamic environment; endocrine; optimization;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4244-9816-1
DOI :
10.1109/SYNASC.2010.27
