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Javidan Kazemi Kordestani
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2020 – today
- 2021
- [b1]Javidan Kazemi Kordestani, Mehdi Razapoor Mirsaleh, Alireza Rezvanian, Mohammad Reza Meybodi:
Advances in Learning Automata and Intelligent Optimization. Intelligent Systems Reference Library 208, Springer 2021, ISBN 978-3-030-76290-2, pp. 1-340 - [j13]Javidan Kazemi Kordestani
, Mohammad Reza Meybodi, Amir Masoud Rahmani:
A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach. J. Exp. Theor. Artif. Intell. 33(1): 1-26 (2021) - 2020
- [j12]Javidan Kazemi Kordestani
, Mohammad Reza Meybodi, Amir Masoud Rahmani:
A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environments. Connect. Sci. 32(3): 239-263 (2020)
2010 – 2019
- 2019
- [j11]Javidan Kazemi Kordestani, Alireza Rezvanian
, Mohammad Reza Meybodi:
New measures for comparing optimization algorithms on dynamic optimization problems. Nat. Comput. 18(4): 705-720 (2019) - [j10]Javidan Kazemi Kordestani, Amir Ehsan Ranginkaman, Mohammad Reza Meybodi, Pavel Novoa-Hernández
:
A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach. Swarm Evol. Comput. 44: 788-805 (2019) - 2018
- [j9]Javidan Kazemi Kordestani, Hossein Abedi Firouzjaee, Mohammad Reza Meybodi:
An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems. Appl. Intell. 48(1): 97-117 (2018) - [j8]Azam Shirali, Javidan Kazemi Kordestani
, Mohammad Reza Meybodi:
Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms. Genet. Program. Evolvable Mach. 19(4): 505-534 (2018) - [j7]Amin Birashk, Javidan Kazemi Kordestani
, Mohammad Reza Meybodi:
Cellular teaching-learning-based optimization approach for dynamic multi-objective problems. Knowl. Based Syst. 141: 148-177 (2018) - 2016
- [j6]Javidan Kazemi Kordestani, Alireza Rezvanian
, Mohammad Reza Meybodi:
An efficient oscillating inertia weight of particle swarm optimisation for tracking optima in dynamic environments. J. Exp. Theor. Artif. Intell. 28(1-2): 137-149 (2016) - 2015
- [j5]Ali Sharifi, Javidan Kazemi Kordestani
, Mahshid Mahdaviani, Mohammad Reza Meybodi:
A novel hybrid adaptive collaborative approach based on particle swarm optimization and local search for dynamic optimization problems. Appl. Soft Comput. 32: 432-448 (2015) - [j4]Mahshid Mahdaviani, Javidan Kazemi Kordestani, Alireza Rezvanian
, Mohammad Reza Meybodi:
LADE: Learning Automata Based Differential Evolution. Int. J. Artif. Intell. Tools 24(6): 1550023:1-1550023:33 (2015) - 2014
- [j3]Javidan Kazemi Kordestani, Alireza Rezvanian
, Mohammad Reza Meybodi:
CDEPSO: a bi-population hybrid approach for dynamic optimization problems. Appl. Intell. 40(4): 682-694 (2014) - [j2]Javidan Kazemi Kordestani, Ali Ahmadi
, Mohammad Reza Meybodi:
An improved Differential Evolution algorithm using learning automata and population topologies. Appl. Intell. 41(4): 1150-1169 (2014) - [j1]Amir Ehsan Ranginkaman, Javidan Kazemi Kordestani
, Alireza Rezvanian
, Mohammad Reza Meybodi:
A note on the paper "A multi-population harmony search algorithm with external archive for dynamic optimization problems" by Turky and Abdullah. Inf. Sci. 288: 12-14 (2014)
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