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Fitness function
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#	Item
81	Genetic algorithms – a solution to optimisation problems Dejan Paravan, Andrej Šajn Energy Policy Lab University of Ljubljana Add to Reading List Source URL: www.oscogen.ethz.ch Language: English - Date: 2003-02-06 05:55:22 Mathematics Evolutionary algorithm Evolutionary computation Genetic programming Genetic operator Mutation Fitness function Evolution Crossover Genetic algorithms Applied mathematics Science
82	Trial Kids’ Fitness Videos From Adventure To Fitness This Week The Holiday Free Trial runs until Dec. 29. New York City, NY (PRWEB) December 24, [removed]The fitness program now used by over 10 million kids and some of Add to Reading List Source URL: www.prweb.com Language: English - Date: 2013-12-24 03:00:59
83	Generalized Multiobjective Multitree model solution using MOEA BENJAMÍN BARÁN, RAMON FABREGAT+, YEZID DONOSO±, FERNANDO SOLANO+ and JOSE L. MARZO+ CNC. National University of Asuncion (Paraguay) + Add to Reading List Source URL: dugi-doc.udg.edu Language: English - Date: 2013-10-01 20:00:58 Mathematical optimization Graph theory Cybernetics Operations research Evolutionary algorithms Multi-objective optimization Crossover Fitness function Flow network Mathematics Applied mathematics Genetic algorithms
84	Analysis and Adjustment of a Genetic Algorithm for Non-Permutation Flowshops∗ Gerrit F¨arber gerrit [removed] Anna M. Coves Moreno Add to Reading List Source URL: upcommons.upc.edu Language: English - Date: 2014-05-15 06:58:09 Science Crossover Chromosome Mutation Genetic operator Fitness function Genetic algorithms Biology Applied mathematics
85	To appear in Proc. 7th Intl. Conf. on Genetic Algorithms (ICGA97), Morgan Kaufmann, San Francisco, CA. Culling and Teaching in Neuro-evolution Paul McQuesten and Risto Miikkulainen Department of Computer Science Add to Reading List Source URL: nn.cs.utexas.edu Language: English - Date: 2000-02-21 19:42:37 Machine learning Science Applied mathematics Neural networks Computational neuroscience Fitness function Culling Backpropagation Crossover Genetic algorithms Cybernetics Evolutionary algorithms
86	Initial Results From Co-operative Co-evolution for Automated Platformer Design Michael Cook, Simon Colton, and Jeremy Gow Computational Creativity Group, Imperial College, London http://ccg.doc.ic.ac.uk Abstract. We pres Add to Reading List Source URL: www.gamesbyangelina.org Language: English - Date: 2012-01-28 12:49:55 Fitness function Platform game Video game genres Accreditation Council for Continuing Medical Education Evolutionary computation Software development Software Digital media Level design Video game design Video game development
87	Stakeholder and Expert Task Force on Physical Education, January 7, 2015 Agenda Add to Reading List Source URL: www.isbe.state.il.us Language: English - Date: 2014-12-31 12:53:28 Physical Meeting Fitness function Exercise Multi-stage fitness test Sprint running
88	Aging Cognitive Function and Paid Work_Nov12_09 Add to Reading List Source URL: sociology.uwo.ca Language: English - Date: 2014-05-03 18:32:23 Gerontology Aging Brain fitness Cognitive neuroscience Neuropsychology Dementia Major depressive disorder Psychology Ageing Psychiatry Mind Cognitive science
89	Stakeholder and Expert Task Force on Physical Education, January 7, 2015 Agenda Add to Reading List Source URL: www.isbe.net Language: English - Date: 2014-12-31 12:53:28 Physical Meeting Fitness function Exercise Multi-stage fitness test Sprint running
90	DOI: [removed]CSIS120604050Z A Novel Approach Based on Genetic Algorithms and Region Growing for Magnetic Resonance Image (MRI) Segmentation Elnomery A. Zanaty1,2 and Ahmed S. Ghiduk1,3 Add to Reading List Source URL: www.doiserbia.nb.rs Language: English - Date: 2013-07-08 05:00:05 Applied mathematics Statistics Science Segmentation Region growing Mutation Fitness function Evolutionary algorithm Market segmentation Genetic algorithms Image processing Cybernetics

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