NDLI: Estimating the Degree of Neutrality in Fitness Landscapes by the Nei’s Standard Genetic Distance – An Application to Evolutionary Robotics

Content Provider	IEEE Xplore Digital Library
Author	Katada, Y. Ohkura, K.
Copyright Year	2006
Description	Author affiliation: Faculty of Engineering, Setsunan University, 17-8 Ikeda-nakamachi, Neyagawa, Osaka 572-8508, JAPAN (phone/fax: +81 728 39 9148; email: katada@ele.setsunan.ac.jp) (Katada, Y.)
Abstract	In recent years, not only ruggedness but also neutrality has been recognized as an important feature of a fitness landscape for genetic search. As it has been reported that the evolutionary dynamics on a fitness landscape with neutrality is clearly different from the canonical explanations, ruggedness alone might be inadequate describing it. Another measure, i.e., neutrality is required. In this paper, we proposed the use of the Nei's standard genetic distance, which originates from population genetics, for estimating the degree of neutrality in fitness landscapes after minor modifications. Several computer simulations were conducted with an evolutionary robotics problem in order to investigate the validity of the proposed approach. The results suggest to us that the Nei's genetic distance is a reliable method for estimating the degree of neutrality on real-world problems.
Starting Page	483
Ending Page	490
File Size	407248
Page Count	8
File Format	PDF
ISBN	0780394879
DOI	10.1109/CEC.2006.1688349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetics Electronic circuits Computer simulation Geography Autocorrelation Neural networks Robot control Network-on-a-chip Information analysis Time measurement
Content Type	Text
Resource Type	Article

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Estimating the Degree of Neutrality in Fitness Landscapes by the Nei&#8217;s Standard Genetic Distance &#8211; An Application to Evolutionary Robotics &#8211;

Estimating the Degree of Neutrality in Fitness Landscapes by the Nei’s Standard Genetic Distance – An Application to Evolutionary Robotics –