On the Non-convergence of Differential Evolution: Some generalized adversarial conditions and a remedy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244225" target="_blank" >RIV/61989100:27240/19:10244225 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/abs/10.1145/3319619.3322007?casa_token=54gaX4AOl_cAAAAA:L5VQpAW1yDg6uk6VtGSWi8aVsThk_3gkmlMGbbNLt6dPdMsbSpAYguM6XfqE1H1YaddDhaAYA8B1cA" target="_blank" >https://dl.acm.org/doi/abs/10.1145/3319619.3322007?casa_token=54gaX4AOl_cAAAAA:L5VQpAW1yDg6uk6VtGSWi8aVsThk_3gkmlMGbbNLt6dPdMsbSpAYguM6XfqE1H1YaddDhaAYA8B1cA</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3319619.3322007" target="_blank" >10.1145/3319619.3322007</a>
Alternative languages
Result language
angličtina
Original language name
On the Non-convergence of Differential Evolution: Some generalized adversarial conditions and a remedy
Original language description
In this paper, we analyze the convergence behavior of Differential Evolution (DE) and theoretically prove that under certain adversarial conditions, the generic DE algorithm may not at all converge to the global optimum even on apparently simpler fitness landscapes. We characterize these function classes and initialization conditions theoretically and provide mathematical supports to the non-convergence behavior of DE. To overcome these adversarial conditions, we propose a slightly modified variant of DE called Differential Evolution with Noisy Mutation (DENM), which incorporates a noise term in the mutation step. We analytically show that DENM can converge to the global optima within a finite budget of function evaluations. (C) 2019 Association for Computing Machinery. ACM ISBN 978-1-4503-6748-6/19/07...$15.00...$15.00
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
ISBN
978-1-4503-6748-6
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
265-266
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Praha
Event date
Jul 13, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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