Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

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Fuzzified ant colony optimization algorithm for efficient combinational circuits synthesis حسب Sarif, B.A.B.

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Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

Arithmetic optimization algorithm: a review and analysis حسب Abualigah, Laith

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Whale optimization algorithm: analysis and full survey حسب Abualigah, Laith

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Animal migration optimization algorithm: novel optimizer, analysis, and applications حسب Abualigah, Laith

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Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

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Aquila optimizer: review, results and applications حسب Abualigah, Laith

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Social spider optimization algorithm: survey and new applications حسب Abualigah, Laith

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Spider monkey optimizations: application review and results حسب Abualigah, Laith

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A Survey of cuckoo search algorithm: optimizer and new applications حسب Abualigah, Laith

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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

A hybrid Harris Hawks optimizer for economic load dispatch problems حسب Al-Betar, Mohammed Azmi

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A Scatter search algorithm for exam scheduling. (c2006) حسب Isahakian, Vatche Raffi

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Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

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