Fitness landscape

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51JUMP RIGHT IN Summer means sun and fun. And fitness, cooking, reading, landscape design and more. At the University of Richmond School of Continuing Studies, we’ve put together a wide selection of non-credit courses fo

JUMP RIGHT IN Summer means sun and fun. And fitness, cooking, reading, landscape design and more. At the University of Richmond School of Continuing Studies, we’ve put together a wide selection of non-credit courses fo

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Source URL: spcs.richmond.edu

Language: English - Date: 2014-06-23 11:47:14
    52Evolution of Tail-Call Optimization in a Population of Self-Hosting Compilers Lance R. Williams1 1 Department of Computer Science, University of New Mexico, Albuquerque, NM[removed]removed]

    Evolution of Tail-Call Optimization in a Population of Self-Hosting Compilers Lance R. Williams1 1 Department of Computer Science, University of New Mexico, Albuquerque, NM[removed]removed]

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    Source URL: www.cs.unm.edu

    Language: English - Date: 2013-08-20 16:54:39
    53BIOINFORMATICS Vol. 00 no[removed]Pages 1–9 Fast stochastic algorithm for simulating evolutionary

    BIOINFORMATICS Vol. 00 no[removed]Pages 1–9 Fast stochastic algorithm for simulating evolutionary

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    Source URL: biodynamics.ucsd.edu

    Language: English - Date: 2013-10-11 13:34:11
    54RN[removed]September 2010 Research Note

    RN[removed]September 2010 Research Note

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    Source URL: drops.dagstuhl.de

    Language: English - Date: 2010-11-12 06:59:24
    55in: World Futures: the Journal of General Evolution 45, p[removed]) (Special Issue on

    in: World Futures: the Journal of General Evolution 45, p[removed]) (Special Issue on "The Quantum of Evolution: toward a theory of metasystem transitions", F. Heylighen, C. Joslyn, V. Turchin (eds.), [removed]Selec

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    Source URL: pespmc1.vub.ac.be

    Language: English - Date: 2014-05-02 12:27:30
    56A Hopfield Network for Multi-Target Optimization Kevin Swingler Abstract— This paper presents a method for training a binary Hopfield neural network so that its energy function represents the fitness surface of an opti

    A Hopfield Network for Multi-Target Optimization Kevin Swingler Abstract— This paper presents a method for training a binary Hopfield neural network so that its energy function represents the fitness surface of an opti

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    Source URL: www.cs.stir.ac.uk

    Language: English - Date: 2011-08-23 06:21:21
    57

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    Source URL: www.tbi.univie.ac.at

    Language: English - Date: 2010-04-12 03:19:50
    58in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Press[removed]pp 192–[removed]Will Selection for Mutational Robustness Significantly Retard Evolutionary Innovation on Neutral Networks?

    in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Press[removed]pp 192–[removed]Will Selection for Mutational Robustness Significantly Retard Evolutionary Innovation on Neutral Networks?

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    Source URL: www.alife.org

    Language: English - Date: 2013-01-14 08:17:26
    59/Users/skryazhi/Documents/__work/adaptive_walk/data/figures[removed]orig/classification_full_1.eps

    /Users/skryazhi/Documents/__work/adaptive_walk/data/figures[removed]orig/classification_full_1.eps

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    Source URL: www.pnas.org

    Language: English - Date: 2011-02-24 14:52:59
    60in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Press[removed]pp 157–[removed]Aesthetic Selection of Developmental Art Forms Dale Thomas

    in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Press[removed]pp 157–[removed]Aesthetic Selection of Developmental Art Forms Dale Thomas

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    Source URL: www.alife.org

    Language: English - Date: 2013-01-14 08:19:28