Search Results - (( intelligence based via algorithm ) OR ( intelligence based ((e algorithm) OR (bee algorithm)) ))

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    Artificial neural networks based optimization techniques: A review by Abdolrasol M.G.M., Suhail Hussain S.M., Ustun T.S., Sarker M.R., Hannan M.A., Mohamed R., Ali J.A., Mekhilef S., Milad A.

    Published 2023
    “…In the last few years, intensive research has been done to enhance artificial intelligence (AI) using optimization techniques. In this paper, we present an extensive review of artificial neural networks (ANNs) based optimization algorithm techniques with some of the famous optimization techniques, e.g., genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC), and backtracking search algorithm (BSA) and some modern developed techniques, e.g., the lightning search algorithm (LSA) and whale optimization algorithm (WOA), and many more. …”
    Review
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    Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging by Olanrewaju, Rashidah Funke, Al-Qudah, Dua'a Mahmoud Mohammad, Azman, Amelia Wong, Yaacob, Mashkuri

    Published 2016
    “…This work proposes a hybrid method that optimize cache replacement algorithm using Naïve Bayes (NB) based approach. Naïve Bayes is an intelligent method that depends on Bayes’ probability theory integrated with Adaptive Weight Ranking Policy (AWRP) via dynamic aging factor to improve the response time and network performance. …”
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    Article
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    Optimal design of step – cone pulley problem using the bees algorithm by Yusof, Noor Jazilah, Kamaruddin, Shafie

    Published 2021
    “…Most of these algorithms were developed based on the collective behavior of social swarms of ants, bees, a flock of birds, and schools of fish. …”
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    Book Chapter
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    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…In addition, a graph algorithm based on greedy methods is employed to compute a new set of optimal weighted electronic properties of the fullerenes via computing their Minimum Weight Spanning Trees (MWSTs). …”
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    Thesis
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    Consumption-Based Priority Algorithm for Energy Consumption by Ahsan, Matiullah, Zainal, Zainab, Baharom, Md Nor Ramdon, Khalil, Ihsan Ullah, Mohd Ariffin, Azrul, Mohd Jamil, Nor Akmal, Ullah, Irshad, Mehmod, Luqman Hakim, Mohd Yousaf, Mohd Fairouz

    Published 2024
    “…According to recent research, buildings may reduce their energy use by up to 30% via improved operations, which are often based on effective energy management using the load priority algorithm. …”
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    Article
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    Consumption-Based Priority Algorithm for Energy Consumption by Ahsan, Matiullah, Zainal, Zainab, Baharom, Md Nor Ramdon, Khalil, Ihsan Ullah, Mohd Ariffin, Azrul, Mohd Jamil, Nor Akmal, Ullah, Irshad, Mehmod, Luqman Hakim, Mohd Yousaf, Mohd Fairouz

    Published 2024
    “…According to recent research, buildings may reduce their energy use by up to 30% via improved operations, which are often based on effective energy management using the load priority algorithm. …”
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    Article
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    Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm by Sathasivam, L., Elamvazuthi, I., Khan, M.K.A.A., Parasuraman, S.

    Published 2019
    “…Besides, the current method used is purely based on trial and error which is time consuming. …”
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    Conference or Workshop Item
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    Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network by Al-Mayouf, Y.R.B., Ismail, M., Abdullah, N.F., Wahab, A.W.A., Mahdi, O.A., Khan, S., Choo, R.K.K.

    Published 2016
    “…Therefore, this paper proposes a novel routing algorithm called efficient and stable routing algorithm based on user mobility and node density (ESRA-MD). …”
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    Article
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    Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models by Kashif, Nisar, Zulqurnain, Sabir, Muhammad Asif Zahoor, Raja, Ag. Asri Ag., Ibrahim, Joel J. P. C., Rodrigues, Adnan, Shahid Khan, Manoj, Gupta, Aldawoud, Kamal, Danda B., Rawat

    Published 2021
    “…The proposed method based on the computing intelligent Gudermannian kernel is incorporated with the hidden layer configuration of FF-GNN models of differential operatives of the LE-NSM, which are arbitrarily associated with presenting an error-based objective function that is used to optimize by the hybrid heuristics of GAASM. …”
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    Article
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    Application of Bee Colony Optimization (BCO) in NP-Hard Problems by Kamarudin, Muhammad Sariy Syazwan

    Published 2011
    “…Bee-Inspired algorithms were presumed to bring the new direction in the field of Swann Intelligence. …”
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    Final Year Project
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    Evolutionary integrated heuristic with gudermannian neural networks for second kind of lane– emden nonlinear singular models by Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Adnan Shahid Khan, Manoj Gupta, Aldawoud Kamal, Danda B. Rawat

    Published 2021
    “…The proposed method based on the computing intelligent Gudermannian kernel is incorporated with the hidden layer configuration of FF-GNN models of differential operatives of the LE-NSM, which are arbitrarily associated with presenting an error-based objective function that is used to optimize by the hybrid heuristics of GAASM. …”
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    Article
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    PREDICTION OF THE THERMODYNAMIC HYDRATE FORMATION CONDITIONS FOR METHANE GAS by Abbasi, A., Soomro, A.A., Hashim, F.M.

    Published 2022
    “…This research work proposes the analysis of predicted data of hydrate formation conditions in an intelligent optimization-based approach. The thermodynamic conditions for hydrate formation were used to assess the plugging risk. …”
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    Article