Termination Criteria in Evolutionary Algorithms: A Survey

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Abstrakt

Over the last decades, evolutionary algorithms have been extensively used to solve multi-objective optimization problems. However, the number of required function evaluations is not determined by nature of these algorithms which is often seen as a drawback. Therefore, a robust and reliable termination criterion is needed to stop the algorithm. There is a huge amount of knowledge encapsulated in the studies targeting termination criteria in evolutionary algorithms, but an updated integrated overview of this knowledge is missing. For this reason, we aim to conduct a systematic research through a comprehensive literature study. We extended the basic categorization of termination criteria to a more advanced one that takes the most common used termination criteria into consideration based on their specifications and the way they have been evolved over time. The survey is concluded by suggesting a road-map for future research directions.
OriginalsprogEngelsk
TitelProceedings of 9th International Joint Conference on Computational Intelligence
Vol/bind1
ForlagSCITEPRESS Digital Library
Publikationsdato2017
Sider373-384
ISBN (Elektronisk)978-989-758-274-5
DOI
StatusUdgivet - 2017
Begivenhed9th International Joint Conference on Computational Intelligence - Funchal, Portugal
Varighed: 1. nov. 20173. nov. 2017
Konferencens nummer: 9

Konference

Konference9th International Joint Conference on Computational Intelligence
Nummer9
LandPortugal
ByFunchal
Periode01/11/201703/11/2017

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