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  1. 1

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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    Thesis
  2. 2

    Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm by Salami, Momoh Jimoh Eyiomika, Tijani, Ismaila, Isqeel , Abdullateef Ayodele, Aibinu, Abiodun Musa

    Published 2013
    “…The proposed algorithm involves a two level optimization scheme to search for both optimal network architecture and weights. …”
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    Article
  3. 3

    An improved full search block matching algorithm for imaging applications by AlDabbagh, S.S.M., Mabrouk, A.H., Alshaikhli, Imad Fakhri Taha

    Published 2012
    “…Full search block matching algorithm (FSBMA) for motion estimation requires a high level of computations, rendering the technique unsuitable for real-time imaging applications. …”
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    Proceeding Paper
  4. 4

    Improvement DACS3 Searching Performance using Local Search by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2009
    “…Several versions of metaheuristic ACOs’ have been developed through several improvement processes to produce better algorithm. …”
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    Conference or Workshop Item
  5. 5

    Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms by Ali, Siti Khadijah, Fadzilan, Mohamad Faisal, Shaari, Aida Nur Syafiqah, Hadi, Muhamad Sukri, Ting, Rickey Pek Eek, Mat Darus, Intan Zaurah

    Published 2021
    “…Therefore, two type of algorithms was used in this work for modelling development of flexible beam structure, which are ant colony optimization (ACO) and cuckoo search algorithm (CSA). …”
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    Article
  6. 6

    New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad by Mohd Lokman, Anitawati, Ahmad, Aishah

    Published 2012
    “…The Filtering framework provides foundation in developing the algorithm for searching tools. This algorithm can be implemented in both website and search engine.…”
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    Research Reports
  7. 7

    Active vibration control of a flexible beam structure using chaotic fractal search algorithm by Tuan Abdul Rahman, Tuan Ahmad Zahidi, As'arry, Azizan, Abdul Jalil, Nawal Aswan

    Published 2017
    “…The objective of this work was to evaluate the performance of chaos-enhanced Stochastic Fractal Search (CFS) optimization algorithm in modeling and vibration control of flexible beam system. …”
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    Article
  8. 8

    Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO) by Ahmed, Ehab Ali

    Published 2019
    “…This development goal is to reduce the impact of water variation in river water levels. …”
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    Thesis
  9. 9

    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

    Published 2015
    “…Surrounded by an assortment of intelligent and efficient search entities, the Low-Level Hybridization (LLH) for Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are proven to be a comprehensive tool for solving different kinds of optimization problems due to their contradictive behaviour. …”
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    Book Section
  10. 10

    Cloud Resource Management Framework Using Monarch Butterfly Harmony Search And Case Based Reasoning by Ahmed Mohamed Ghetas, Mohamed Rezk

    Published 2017
    “…However, they are based on local search optimization algorithms, which may not obtain the best resource provisioning decision in a large-scale cloud environment. …”
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    Thesis
  11. 11

    Harmony search-based robust optimal controller with prior defined structure by Rafieishahemabadi, Ali

    Published 2013
    “…The second level compnses of two HS optimization algorithms developed and coded for robust stability examinations. …”
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    Thesis
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  14. 14

    Bats echolocation-inspired algorithms for global optimisation problems by Nafrizuan, Mat Yahya

    Published 2016
    “…The algorithm is a hybrid algorithm that operates using dual level search strategy that takes merits of a particle swarm optimisation algorithm and a modified adaptive bats sonar algorithm. …”
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    Thesis
  15. 15
  16. 16

    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

    Published 2015
    “…Surrounded by an assortment of intelligent, adaptive and efficient search entities, the Low-Level Hybridization(LLH) for Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are proven to be a comprehensive tool for solving different kinds of optimization problems due to their contradictive behaviour. …”
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    Thesis
  17. 17
  18. 18

    Development of efficient t-way test data generation algorithm and execution strategies by Khandakar Fazley, Rabbi

    Published 2012
    “…This strategy is unable to support non uniform values. (III) R2Way (Random Search for 2-way Test Data Generation) with execution tool is developed to support both uniform and non-uniform values using search based software engineering. …”
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    Thesis
  19. 19

    CUCKOO SEARCH OPTIMIZATION NEURAL NETWORK MODELS FOR FORECASTING LONG-TERM PRECIPITATION by Kuok, King Kuok, Chiu, Po Chan, Md. Rezaur, Rahman, Khairul Anwar, Mohamad Said

    Published 2024
    “…This paper presents the application of a novel optimization algorithm, Cuckoo Search Optimization (CSO), to train feedforward neural networks to forecast long-term precipitation using three climate models, namely HadCM3, ECHAM5, and HadGEM3‐RA. …”
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    Book Chapter
  20. 20

    Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP). by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2007
    “…Their ability as a colony to find paths or routes to the food sources has inspired the development of an algorithm namely Ant Colony System (ACS). …”
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    Conference or Workshop Item