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Simulated Annealing with Exploratory Sensing for Global Optimization

Simulated annealing is a well-known search algorithm used with success history in many search problems. However, the random walk of the simulated annealing does not benefit from the memory of visited states, causing excessive random search with no diversification history. Unlike memory-based search...

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Principais autores: Majid Almarashi, Wael Deabes, Hesham H. Amin, Abdel-Rahman Hedar
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2020-09-01
Serier:Algorithms
Fag:
simulated annealing
exploration
intensification
sensing search
search memory
Online adgang:https://www.mdpi.com/1999-4893/13/9/230
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