Search Results - Meta metaheuristic algorithm

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    Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier by Talfur, Khasif Hussain

    Published 2018
    “…But, mostly high-level analysis is performed on metaheuristic performances. This leaves several critical questions unanswered due to black-box issue that does not reveal why certain metaheuristic algorithms performed better on some problems and not on others. …”
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    Thesis
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    Enhancing Classification Algorithms with Metaheuristic Technique by Cokro, Nurwinto, Tri Basuki, Kurniawan, Misinem, ., Tata, Sutabri, Yesi Novaria, Kunang

    Published 2024
    “…For this reason, in this research,several auxiliary algorithms are introduced to improve the performance of the classification algorithm, namely the meta-heuristic algorithm. …”
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    Article
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    Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation by Nasser, Abdullah B., Abdul-Qawy, Antar S. H., Abdullah, Nibras, Hujainah, Fadhl, Kamal Z., Zamli, Ghanem, Waheed A. H. M.

    Published 2020
    “…Jaya Algorithm (JA) is a new metaheuristic algorithm, has been used for solving different problems. …”
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    Conference or Workshop Item
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    Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review by Nor Shuhada, Ibrahim, Nafrizuan, Mat Yahya, Saiful Bahri, Mohamed

    Published 2022
    “…The purpose of this systematic literature review (SLR) article is to discuss the findings of the state-of-art metaheuristic nature-inspired algorithm (MHNIA) in reservoir optimization operation. …”
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    Article
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    Comparative evaluation of tabu search hyper-heuristic against its low-level meta-heuristic constituents by Fakhrud, Din, Kamal Z., Zamli

    Published 2019
    “…Hyper-heuristics present a superior form of hybridization of meta-heuristics. Unlike typical meta-heuristic hybridization, which requires low-level integration of two or more metaheuristics, hyper-heuristics offer meta level separation (as domain barrier) of each participating low-level meta-heuristic and permit adaptive selection between them. …”
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    African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions by B. Odili, Julius, B. Nasser, Abdullah, A., Noraziah, Abd Wahab, Mohd Helmy, Ahmed, Mashuk

    Published 2022
    “…The need for effectiveness, therefore, necessi�tates the need for algorithm hybridization to deploy only the component parts of algorithms that have been proven to enhance overall search capabilities while at the same time eliminating the demerits of particular algorithms in the hybridiza�tion procedure. …”
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    Meta-heuristic structure for multiobjective optimization case study: Green sand mould system by Ganesan, T., Elamvazuthi, I., KuShaari, K.Z., Vasant, P.

    Published 2014
    “…In this chapter, an approach that merges meta-heuristic algorithms with the weighted sum method is introduced. …”
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    Book
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    Analysis of the effect of search step size on the accuracy and convergence properties of electromagnetism-like mechanism algorithm by Tan J.D., Dahari M., Koh S.P., Koay Y.Y., Abed I.A.

    Published 2023
    “…Benchmarking; Global optimization; Convergence performance; Convergence properties; Electromagnetism-like mechanism algorithms; Global optimization problems; Meta-heuristic search algorithms; Metaheuristic; Modified algorithms; Search steps; Optimization…”
    Article
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    Performance analyses of graph heuristics and selected trajectory metaheuristics on examination timetable problem by Mandal, Ashis Kumar, M. N. M., Kahar

    Published 2020
    “…This paper presents the performances of graph heuristics and major trajectory metaheuristics or S-metaheuristics for addressing both capacitated and un-capacitated examination timetabling problem. …”
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    Article
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    Machine learning of tax avoidance detection based on hybrid metaheuristics algorithms by Masrom, S., Rahman, R.A., Mohamad, M., Rahman, A.S.A., Baharun, N.

    Published 2022
    “…The machine learning models employed automated features selection with hybrid two metaheuristics algorithms namely particle swarm optimization (PSO) and genetic algorithm (GA). …”
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    Article
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    Machine learning of tax avoidance detection based on hybrid metaheuristics algorithms by Masrom, S., Rahman, R.A., Mohamad, M., Rahman, A.S.A., Baharun, N.

    Published 2022
    “…The machine learning models employed automated features selection with hybrid two metaheuristics algorithms namely particle swarm optimization (PSO) and genetic algorithm (GA). …”
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    Article
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