Diversity Visualization in Niching Evolutionary Algorithms Based on Simulation of Intermolecular Forces

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03132714" target="_blank" >RIV/68407700:21230/07:03132714 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Diversity Visualization in Niching Evolutionary Algorithms Based on Simulation of Intermolecular Forces
Original language description
This article deals with visualization of diversity in Evolutionary Algorithms (EAs) Diversity is an essenial aspect of each EA. It describes the variability of individuals in population. The lack of diversity is common problem - diversity should be preserved in order to evade local extremes (premature convergence). Niching algorithms are modifications of classical EAs. Niching is based on dividing the population into separate subpopulations - it spreads the individuals effectively all over the search space and hence making the overall population diverse. Using niching methods also requires setting of their parameters, which can be very difficult. This paper presents a novel way of diversity visualization based on simulation of intermolecular forces. This visualization is helpful when designing and tuning niching algorithms but it can also be used to visualize any data on which a similarity measure is defined.
Czech name
Vizualizace diverzity niching evolučních algoritmů založená na simulaci mezimolekulárních sil
Czech description
Není k dispozici

Project
<a href="/en/project/KJB201210701" target="_blank" >KJB201210701: Automated Knowledge Extraction</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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