caa a22 4500 463202856 CHVBK 20180405153117.0 cr unu---uuuuu 170326e20070401xx s 000 0 eng 10.1007/s10732-006-9005-z doi (NATIONALLICENCE)springer-10.1007/s10732-006-9005-z Affinity genetic algorithm [Elektronische Daten] [Xinchao Zhao, Xiao-Shan Gao] Based on some phenomena from human society and nature, we propose a binary affinity genetic algorithm (aGA) by adopting the following strategies: the population is adaptively updated to avoid stagnation; the newly generated individuals will be ensured to survive for some generations in order for them to have time to show their good genes; new individuals and the old ones are balanced to have the advantages of both. In order to quantitatively analyze the selective pressure, the concept of selection degree and a simple linear control equation are introduced. We can maintain the diversity of the evolutionary population by controlling the value of the selection degree. Performance of aGA is further enhanced by incorporating local search strategies. Springer Science+Business Media, LLC, 2007 Genetic algorithm nationallicence Selection degree nationallicence Individual flowing nationallicence Population diversity nationallicence Global optimization nationallicence Zhao Xinchao School of Sciences, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut Gao Xiao-Shan KLMM, Institute of Systems Science, AMSS, Academia Sinica, 100080, Beijing, China aut Journal of Heuristics Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 13/2(2007-04-01), 133-150 1381-1231 13:2<133 2007 13 10732 https://doi.org/10.1007/s10732-006-9005-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10732-006-9005-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhao Xinchao School of Sciences, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut NATIONALLICENCE 700 1- Gao Xiao-Shan KLMM, Institute of Systems Science, AMSS, Academia Sinica, 100080, Beijing, China aut NATIONALLICENCE 773 0- Journal of Heuristics Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 13/2(2007-04-01), 133-150 1381-1231 13:2<133 2007 13 10732 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer