2019
DOI: 10.1080/1448837x.2019.1640010
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A modified camel travelling behaviour algorithm for engineering applications

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Cited by 17 publications
(24 citation statements)
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“…The camel search behavior is a new optimization method that mimics the behavior of travelling camels over desert for foraging site process [31]. The camels can adapt themselves to resist for long time with shortage of water and food and able to withstand extreme circumstances and fallow their nature behavior in finding food.…”
Section: Camel Search Behavior Algorithmmentioning
confidence: 99%
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“…The camel search behavior is a new optimization method that mimics the behavior of travelling camels over desert for foraging site process [31]. The camels can adapt themselves to resist for long time with shortage of water and food and able to withstand extreme circumstances and fallow their nature behavior in finding food.…”
Section: Camel Search Behavior Algorithmmentioning
confidence: 99%
“…The food position may not be visible to all camels due to dunes in the desert, in such a case wake away from sight continue in random movement to lock for another food position. Through the searching process, another best food site can be found by another camel [31]. The modification of camel's rout continues until reaching the best position.…”
Section: Camel Search Behavior Algorithmmentioning
confidence: 99%
“…During travelling procedure to get water, the group's leader supplies associates in the flock to various positions in everywhere to search for water. The camel has a decent sense of path direction so that it can return after a long searching trip [13]. The MCA can discover result solution of space at once in various directions.…”
Section: Implementation Of Modified Camel Algorithmmentioning
confidence: 99%
“…The case study to approve the suggested algorithm was applied for FJSP flexible job of the shop scheduling problem. A modified camel algorithm was proposed in [13] which have a good speed of execution, minor size of memory contrast with previous camel algorithm CA. There are two portions for any proposed metaheuristic procedures which include: the best solutions choice and the random operators.…”
Section: Introductionmentioning
confidence: 99%
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