Higher Dimensional Cost Function for Synthesis of Evolutionary Algorithms by means of Symbolic Regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F08%3A63507086" target="_blank" >RIV/70883521:28140/08:63507086 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Higher Dimensional Cost Function for Synthesis of Evolutionary Algorithms by means of Symbolic Regression
Original language description
This contribution deals with a new idea of how to create evolutionary algorithms by means of symbolic regression and Analytic Programming. The motivation was not only to tune some existing algorithms to their better performance, but also to find a new robust evolutionary algorithm. In this study operators of Differential Evolution (DE), SelfOrganizing Migrating Algortithm (SOMA), Hill Climbing (HC) and Simulated Annealing (SA) were used during a process of Analytic Programming. The results showed that AP was able to find successful as well as the original DE or SOMA. The cost function includes not only success in unimodal and multimodal benchmark function but also rules concerned to cost function evaluations. Results were tested on 16 benchmark functions in 2D, 20 D and 100 dimensional versions, i.e. 192 test, each was 100 times repeated and each of 100 repetitions has around 200 000 cost function evaluations. The results are presented in tabelar and graphic form.
Czech name
Vícedimenzionální účelová funkce pro syntézu evolučních algoritmů pomocí symbolické regrese
Czech description
Tento článek se zabývá alternativním nástrojem pro symbolickou regresi - analytickým programováním, které je schopno řešit složité problémy v oblastni symbolické regrese stejně jako genetické programování či gramatická evoluce. Hlavním cílem bylo ukázat,jak lze syntetizovat nové evoluční algoritmy pomocí analytického programování a to pro více proměnných (20), nejen 2, které byly použity v předchozích výzkumech.
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputing in Control</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Second Asia International Conference on Modelling and Simulation
ISBN
0-7695-2799-X
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
IEEE Operations Center
Place of publication
Piscataway
Event location
Kuala Lumpur, Malaysia
Event date
May 15, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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