Hybridisation of Novelty And Local Search In Evolutionary Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00217784" target="_blank" >RIV/68407700:21230/14:00217784 - 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
Hybridisation of Novelty And Local Search In Evolutionary Algorithms
Original language description
Novelty search is a modern approach of solving tasks that are too difficult for conventional evolutionary techniuqes. While this approach is quite successful, it suffers from several issues, most importantly the inability to find precise optimum values.There exists another, multi-objective approach which combines the novelty search with classical fitness-based search. This paper presents a different idea of how to combine novelty and fitness in a single evolutionary algorihm. Two algorithms which accomplish this task are presented, together with results that suggest, that the presented approach is a viable alternative to the already existing multi-objective approach.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
POSTER 2014 - 18th International Student Conference on Electrical Engineering
ISBN
978-80-01-05499-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
Czech Technical University
Place of publication
Prague
Event location
Praha
Event date
May 15, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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