An efficient hybrid model based on Particle Swarm Optimization and Simulated Annealing algorithms for complex optimization problems

Maria Zemzami; Norelislam Elhami; Mhamed Itmi; Nabil Hmina

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An efficient hybrid model based on Particle Swarm Optimization and Simulated Annealing algorithms for complex optimization problems

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Maria Zemzami

Function : Author

Institut national des sciences appliquées Rouen Normandie

Equipe Multi-agent, Interaction, Décision

Norelislam Elhami

Function : Author

Université Ibn Tofaïl

Mhamed Itmi

Function : Author
PersonId : 1046499

Institut national des sciences appliquées Rouen Normandie

Equipe Multi-agent, Interaction, Décision

Nabil Hmina

Function : Author

Université Ibn Tofaïl

Domains

Computer Science [cs] Operations Research [cs.RO]

MHAMED ITMI : Connect in order to contact the contributor

https://hal-normandie-univ.archives-ouvertes.fr/hal-02130891

Submitted on : Thursday, May 16, 2019-10:39:17 AM

Last modification on : Wednesday, March 2, 2022-10:10:11 AM

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hal-02130891 , version 1 (16-05-2019)

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HAL Id : hal-02130891 , version 1

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Maria Zemzami, Norelislam Elhami, Mhamed Itmi, Nabil Hmina. An efficient hybrid model based on Particle Swarm Optimization and Simulated Annealing algorithms for complex optimization problems. ICCSET, Sep 2018, Bangkok, Thailand. ⟨hal-02130891⟩

An efficient hybrid model based on Particle Swarm Optimization and Simulated Annealing algorithms for complex optimization problems

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