caa a22 4500 445877863 CHVBK 20180317145533.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s11081-011-9155-1 doi (NATIONALLICENCE)springer-10.1007/s11081-011-9155-1 Planned tournament selection [Elektronische Daten] [Douglas McCorkle, Daniel Ashlock, Steven Corns, Kenneth Bryden] Tournament selection is a versatile method of selection and replacement used in evolutionary computation. Normally tournaments are chosen uniformly at random. This study demonstrates the effectiveness of planning tournaments in advance to control information flow within a population being evolved for optimization. Tests are performed on a variety of evolutionary test problems, finding that different planned tournament schemes yield significant differences in performance. The correct type of planned tournament is found to be problem dependent. In addition to a linear-function scheme for planning tournaments, this study also introduces a technique called multi-deme planned tournaments selection which permits simpler cases of a problem to be automatically used to reduce the time required to solve more complex cases. Springer Science+Business Media, LLC, 2011 Theory of evolutionary computation nationallicence Spatially structured algorithms nationallicence Optimization nationallicence Test problems nationallicence McCorkle Douglas Department of Mechanical Engineering, Iowa State University, 50011, Ames, IA, USA aut Ashlock Daniel Department of Mathematics and Statistics, University of Guelph, N1G 2W1, Guelph, Ontario, Canada aut Corns Steven Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, 65409, Rolla, MO, USA aut Bryden Kenneth Department of Mechanical Engineering, Iowa State University, 50011, Ames, IA, USA aut Optimization and Engineering Springer US; http://www.springer-ny.com 12/3(2011-09-01), 303-331 1389-4420 12:3<303 2011 12 11081 https://doi.org/10.1007/s11081-011-9155-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11081-011-9155-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- McCorkle Douglas Department of Mechanical Engineering, Iowa State University, 50011, Ames, IA, USA aut NATIONALLICENCE 700 1- Ashlock Daniel Department of Mathematics and Statistics, University of Guelph, N1G 2W1, Guelph, Ontario, Canada aut NATIONALLICENCE 700 1- Corns Steven Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, 65409, Rolla, MO, USA aut NATIONALLICENCE 700 1- Bryden Kenneth Department of Mechanical Engineering, Iowa State University, 50011, Ames, IA, USA aut NATIONALLICENCE 773 0- Optimization and Engineering Springer US; http://www.springer-ny.com 12/3(2011-09-01), 303-331 1389-4420 12:3<303 2011 12 11081 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer