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Volume 15, Issue 1
Published: Apr 2, 2024
DOI: 10.4018/IJAMC.341804
Volume 15
Abid Sabrina, Debbat Fatima
The fault detection and isolation (FDI) procedure increases the assurance of quality, reliability, and safety of industrial systems. Several faults may appear simultaneously, and the purpose of... Show More
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MLA

Sabrina, Abid, and Debbat Fatima. "Multi-Fault Diagnosis Based on Hybrid Bio-Inspired Algorithm ACO-GA." IJAMC vol.15, no.1 2024: pp.1-20. http://doi.org/10.4018/IJAMC.341804

APA

Sabrina, A. & Fatima, D. (2024). Multi-Fault Diagnosis Based on Hybrid Bio-Inspired Algorithm ACO-GA. International Journal of Applied Metaheuristic Computing (IJAMC), 15(1), 1-20. http://doi.org/10.4018/IJAMC.341804

Chicago

Sabrina, Abid, and Debbat Fatima. "Multi-Fault Diagnosis Based on Hybrid Bio-Inspired Algorithm ACO-GA," International Journal of Applied Metaheuristic Computing (IJAMC) 15, no.1: 1-20. http://doi.org/10.4018/IJAMC.341804

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Mendeley
Published: Aug 7, 2024
DOI: 10.4018/IJAMC.350225
Volume 15
Niusha Yaghini, Mir Yasin Seyed Valizadeh
The Multidimensional Knapsack Problem (MDKP) stands as a prominent challenge in combinatorial optimization, with diverse applications across various domains. The Artificial Bee Colony (ABC)... Show More
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MLA

Yaghini, Niusha, and Mir Yasin Seyed Valizadeh. "An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem: Using Design of Experiments for Parameter Tuning." IJAMC vol.15, no.1 2024: pp.1-23. http://doi.org/10.4018/IJAMC.350225

APA

Yaghini, N. & Valizadeh, M. Y. (2024). An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem: Using Design of Experiments for Parameter Tuning. International Journal of Applied Metaheuristic Computing (IJAMC), 15(1), 1-23. http://doi.org/10.4018/IJAMC.350225

Chicago

Yaghini, Niusha, and Mir Yasin Seyed Valizadeh. "An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem: Using Design of Experiments for Parameter Tuning," International Journal of Applied Metaheuristic Computing (IJAMC) 15, no.1: 1-23. http://doi.org/10.4018/IJAMC.350225

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Mendeley
Published: Aug 12, 2024
DOI: 10.4018/IJAMC.350330
Volume 15
Sana Alyaseri, Andy Conner
Procedural Content Generation (PCG) aims to automatically generate the content of games using algorithmic approaches, as this can reduce the cost of game design and development. PCG algorithms can... Show More
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MLA

Alyaseri, Sana, and Andy Conner. "Comparative Analysis of Metaheuristic Algorithms for Procedural Race Track Generation in Games." IJAMC vol.15, no.1 2024: pp.1-30. http://doi.org/10.4018/IJAMC.350330

APA

Alyaseri, S. & Conner, A. (2024). Comparative Analysis of Metaheuristic Algorithms for Procedural Race Track Generation in Games. International Journal of Applied Metaheuristic Computing (IJAMC), 15(1), 1-30. http://doi.org/10.4018/IJAMC.350330

Chicago

Alyaseri, Sana, and Andy Conner. "Comparative Analysis of Metaheuristic Algorithms for Procedural Race Track Generation in Games," International Journal of Applied Metaheuristic Computing (IJAMC) 15, no.1: 1-30. http://doi.org/10.4018/IJAMC.350330

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