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1
Retraction: Optimizing the convolutional network layers using the Viola–Jones framework and ternary weight networks
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Retraction: Optimizing the convolutional network layers using the Viola–Jones framework and ternary weight networks

International journal of intelligent systems, 2022-01, Vol.37 (1), p.1052-1052 [Periódico revisado por pares]

New York: Wiley Subscription Services, Inc

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2
A hybrid ITLHHO algorithm for numerical and engineering optimization problems
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A hybrid ITLHHO algorithm for numerical and engineering optimization problems

Kundu, Tanmay ; Garg, Harish

International journal of intelligent systems, 2022-07, Vol.37 (7), p.3900-3980 [Periódico revisado por pares]

New York: Wiley Subscription Services, Inc

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3
Multi‐swarm and chaotic whale‐particle swarm optimization algorithm with a selection method based on roulette wheel
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Multi‐swarm and chaotic whale‐particle swarm optimization algorithm with a selection method based on roulette wheel

Asghari, Kayvan ; Masdari, Mohammad ; Gharehchopogh, Farhad Soleimanian ; Saneifard, Rahim

Expert systems, 2021-12, Vol.38 (8), p.n/a [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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4
Optimization of electric vehicles charging station deployment by means of evolutionary algorithms
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Optimization of electric vehicles charging station deployment by means of evolutionary algorithms

Niccolai, Alessandro ; Bettini, Leonardo ; Zich, Riccardo

International journal of intelligent systems, 2021-09, Vol.36 (9), p.5359-5383 [Periódico revisado por pares]

New York: Wiley Subscription Services, Inc

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5
Fruit classification by biogeography-based optimization and feedforward neural network
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Fruit classification by biogeography-based optimization and feedforward neural network

Zhang, Yudong ; Phillips, Preetha ; Wang, Shuihua ; Ji, Genlin ; Yang, Jiquan ; Wu, Jianguo

Expert systems, 2016-06, Vol.33 (3), p.239-253 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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6
Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems
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Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems

Abdollahzadeh, Benyamin ; Soleimanian Gharehchopogh, Farhad ; Mirjalili, Seyedali

International journal of intelligent systems, 2021-10, Vol.36 (10), p.5887-5958 [Periódico revisado por pares]

New York: Wiley Subscription Services, Inc

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7
A hybrid feature selection model based on butterfly optimization algorithm: COVID‐19 as a case study
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A hybrid feature selection model based on butterfly optimization algorithm: COVID‐19 as a case study

EL‐Hasnony, Ibrahim M. ; Elhoseny, Mohamed ; Tarek, Zahraa

Expert systems, 2022-03, Vol.39 (3), p.e12786-n/a [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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8
Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm
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Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm

Yildiz, Betül Sultan ; Pholdee, Nantiwat ; Bureerat, Sujin ; Yildiz, Ali Riza ; Sait, Sadiq M.

Expert systems, 2021-05, Vol.38 (3), p.n/a [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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9
An efficient improved African vultures optimization algorithm with dimension learning hunting for traveling salesman and large‐scale optimization applications
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An efficient improved African vultures optimization algorithm with dimension learning hunting for traveling salesman and large‐scale optimization applications

Singh, Narinder ; Houssein, Essam H. ; Mirjalili, Seyedali ; Cao, Yankai ; Selvachandran, Ganeshsree

International journal of intelligent systems, 2022-12, Vol.37 (12), p.12367-12421 [Periódico revisado por pares]

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10
Scheduling the repair and replacement of individual components in operating systems: a bi-objective mathematical optimization model
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Scheduling the repair and replacement of individual components in operating systems: a bi-objective mathematical optimization model

Obradović, Gabrijela ; Strömberg, Ann-Brith ; Lundberg, Kristian

Journal of scheduling, 2024-02, Vol.27 (1), p.87-101 [Periódico revisado por pares]

New York: Springer US

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