TY - GEN A1 - Stańczak, Jarosław PB - Instytut Badań Systemowych. Polska Akademia Nauk PB - Systems Research Institute. Polish Academy of Sciences N1 - 27 pages ; 21 cm N1 - Bibliography p. 26-27 N2 - In this paper two new methods of an evolutionary algorithm control are proposed. Methods applied in the evolutionary algorithms are usually derived from nature and prefer solutions where the main role plays randomness, competition and fight among individuals. In the case of evolutionary algorithms, where populations of individuals are usually small it causes a premature convergence to local minima. To avoid this drawback we propose to apply an approach based rather on an agricultural technique. The correctness of such assumption follows from the observation that by operating on small populations of plants or animals it was possible to cultivate species of desired features without randomness, fight and competition. Two new methods of object selections are proposed: a histogram selection and a mixed selection. Also advantages of passing them into the evolutionary algorithm are shown, using examples based on scheduling and TSP. L1 - http://www.rcin.org.pl/Content/102575/PDF/RB-2001-22.pdf M3 - Text CY - Warszawa J2 - Raport Badawczy = Research Report ; RB/22/2001 PY - 2001 KW - Genetic algorithms KW - Algorytmy genetyczne KW - Adaptation KW - Adaptive evolutionary algorithms KW - Adaptacyjne algorytmy ewolucyjne KW - Adaptacja T1 - Biologically inspired methods of an evolutionary algorithm control UR - http://www.rcin.org.pl/dlibra/publication/edition/102575 ER -