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  1. 1
    Hybrid genetic algorithm for improving fault localization

    Hybrid genetic algorithm for improving fault localization by Mahamad Zakaria, Muhammad Luqman, Sharif, Khaironi Yatim, Abd Ghani, Abdul Azim, Koh, Tieng Wei, Zulzalil, Hazura

    Published 2018
    “…Therefore, there is a need for a technique which able to localize a fault effectively with less number of mutants generated. Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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  2. 2
    Overview of metaheuristic: classification of population and trajectory

    Overview of metaheuristic: classification of population and trajectory by Zainul Rashid, Zarina

    Published 2010
    “…Algorithms are used to find the solutions through the computer program. …”
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  3. 3
    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem

    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…Genetic Algorithm gives a pool of solutions rather than just one. …”
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  4. 4
    Parallel Homologous Search With Hirschberg Algorithm: A Hybrid MPI-Pthreads Solution.

    Parallel Homologous Search With Hirschberg Algorithm: A Hybrid MPI-Pthreads Solution. by Abdul Rashid, Nur'Aini, Abdullah, Rosni, Hj. Talib, Abdullah Zawawi

    Published 2007
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  5. 5
    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices

    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
    “…The optimization of a computationally intensive algorithm such as this on a mobile platform is challenging due to the limited resources available. …”
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  6. 6
    Using genetic algorithm for solving N-Queens problem

    Using genetic algorithm for solving N-Queens problem by Turky A.M., Ahmad M.S.

    Published 2023
    “…The N-Queens problem is a well-known NP-Hard problem. Optimal solutions to small N values can be found in reasonable time by classical search algorithms or linear programming. …”
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  7. 7
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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  8. 8
    A sports tournament scheduling problem: Exploiting constraint-based algorithm and neighborhood search for the solution

    A sports tournament scheduling problem: Exploiting constraint-based algorithm and neighborhood search for the solution by Razamin, Ramli, Soong, Cai Juan, Haslinda, Ibrahim

    Published 2012
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  9. 9
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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  10. 10
    Cuckoo Search Approach for Cutting Stock Problem

    Cuckoo Search Approach for Cutting Stock Problem by Shair, Ezreen Farina, Khor, Shen Young, Abdullah, Abdul Rahim, Jaafar, Hazriq Izzuan, Saharuddin, Nur Zawani, Zainal Abidin, Amar Faiz

    Published 2015
    “…Cuckoo Search Algorithm is selected because it is a new algorithm and outperforms many algorithms. …”
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  11. 11
    An improved grey wolf with whale algorithm for optimization functions

    An improved grey wolf with whale algorithm for optimization functions by Asgher, Hafiz Maaz

    Published 2022
    “…Therefore, to overcome the problem of poor exploration in the GWO the exploration part of the Whale optimization algorithm (WOA) is integrated in it. The resultant Grey Wolf Whale Optimization Algorithm (GWWOA) offers better exploration ability and is able to solve the optimization problems to find the most optimal solution in search space. …”
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  12. 12
    Local search heuristics for elective surgery scheduling considering patient urgency

    Local search heuristics for elective surgery scheduling considering patient urgency by Rashid, N. S. A., Rahmin, N. A. A., Leong, W. J., Mohamed Ali, Nazihah

    Published 2019
    “…The results show that solutions obtained by the local search algorithm are good quality and has significantly reduce the computational time even when considering more surgeries in the waiting list.…”
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  13. 13
    Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul

    Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul by Siaw Ying Doreen, Sek

    Published 2023
    “…A set of local search approaches and random shaking methods are proposed to conduct a list of neighbourhood solutions. …”
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  14. 14
    Some metaheuristic algorithms for solving multiple cross-functional team selection problems

    Some metaheuristic algorithms for solving multiple cross-functional team selection problems by Ngo, S.T., Jaafar, J., Izzatdin, A.A., Tong, G.T., Bui, A.N.

    Published 2022
    “…The problem solver needs to scan across a large array of available solutions during their search. This problem belongs to a class of combinatorial and NP-Hard problems that requires an efficient search algorithm to maintain the quality of solutions and a reasonable execution time. …”
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  15. 15
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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  16. 16
    Global and local convergence of a filter line search method for nonlinear programming.

    Global and local convergence of a filter line search method for nonlinear programming. by Chin, Choong Ming, Abdul Rashid, Abdul Halim, Nor, Khaled Mohamed

    Published 2007
    “…The proposed methods solve a sequence of quadratic programming subproblems via line search techniques to induce global convergence. …”
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  17. 17
    Chaotic local search based algorithm for optimal DGPV allocation

    Chaotic local search based algorithm for optimal DGPV allocation by Mustaffa S.A.S., Musirin I., Othman M.M., Zamani M.K.M., Kalam A.

    Published 2023
    “…Integration of renewable energy into the grid such as Distributed Generation Photovoltaic (DGPV) can be one of the possible solutions. In this paper, Chaotic Mutation Immune Evolutionary Programming (CMIEP) algorithm is used as the optimization method while the chaotic mapping was employed in the local search for optimal location and sizing of DGPV. …”
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  18. 18
    Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai

    Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai by Annamalai, Muthukkaruppan

    Published 2001
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  19. 19
    A sports tournament scheduling problem: Exploiting constraint-based algorithm and neighborhood search for the solution

    A sports tournament scheduling problem: Exploiting constraint-based algorithm and neighborhood search for the solution by Ramli, Razamin, Soong, Chai Juan, Ibrahim, Haslinda

    Published 2012
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  20. 20
    Application of Multi-objective Genetic Algorithm (MOGA) optimization in machining processes

    Application of Multi-objective Genetic Algorithm (MOGA) optimization in machining processes by Nor Atiqah, Zolpakar, Lodhi, Swati Singh, Pathak, Sunil, Sharma, Mohita Anand

    Published 2020
    “…Multi-objectives Genetic Algorithm (MOGA) is one of many engineering optimization techniques, a guided random search method. …”
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