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  1. 1
    A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WELLBORE TRAJECTORY DESIGN

    A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WELLBORE TRAJECTORY DESIGN by BISWAS, KALLOL

    Published 2021
    “…A lot of modifications to the original metaheuristic methods were made during previous applications, which primarily improve the exploration capability of original algorithms keeping exploitation capability unaddressed. …”
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  2. 2
    Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems

    Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems by Bashar AbedAl Mohdi Talal AlDeeb

    Published 2024
    “…(iii) It is a constructive-based meta-heuristic algorithm which means, the solution is incrementally constructed (step by step) until the complete solution is obtained (Noferesti and Shah-Hosseini, 2012). …”
    thesis::doctoral thesis
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  3. 3
    Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem

    Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem by Wong, Jerng Foong

    Published 2022
    “…The Greedy heuristics by ratio was employed to construct an initial solution. Next, the solution was enhanced by using the hybrid TS-SBA. …”
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  4. 4
    Optimizing decentralized exam timetabling with a discrete whale optimization algorithm

    Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

    Published 2025
    “…Then, several search methods were employed for comparison during the improvement phase, including three Variable Neighborhood Descent (VND) variations and two modified WOA algorithms employing five distinct neighborhoods. …”
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  5. 5
    Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm

    Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

    Published 2025
    “…Then, several search methods were employed for comparison during the improvement phase, including three Variable Neighborhood Descent (VND) variations and two modified WOA algorithms employing five distinct neighborhoods. …”
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  6. 6
    Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak

    Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak by Emily Sing Kiang, Siew

    Published 2025
    “…A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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  7. 7
    Solving ordinary differential equations using block multistep method

    Solving ordinary differential equations using block multistep method by Mehrkanoon, Siamak

    Published 2011
    “…Subsequently, a variable block method is proposed to solve first and higher order IVPs of ODEs using variable step size and order strategy. …”
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  8. 8
    Process Planning Optimization In Reconfigurable Manufacturing Systems

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…Five (5) Alternative Algorithm Design Techniques (AADTs) were developed and investigated for suitability in providing process planning solutions suitable for reconfigurable manufacturing. …”
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  9. 9
    Crossover and mutation operators of real coded genetic algorithms for global optimization problems

    Crossover and mutation operators of real coded genetic algorithms for global optimization problems by Lim, Siew Mooi

    Published 2016
    “…First and foremost, this study examines the proposed crossover and mutation operators on the problems of slow convergence and premature convergence to suboptimal solution. Second of all, this study operates within experimental design with Taguchi method to discover the optimal design factors for the two proposed genetic operators. …”
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  10. 10
    Family of singly diagonally implicit block backward differentiation formulas for solving stiff ordinary differential equations

    Family of singly diagonally implicit block backward differentiation formulas for solving stiff ordinary differential equations by Saufianim, Jana Aksah

    Published 2021
    “…As some of the applied problems available in the literature are modeled as second order ODEs thus, 2ESDIBBDF method is constructed to meet the requirement. Numerical algorithm of the method is designed to solve the second order stiff ODEs directly. …”
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  11. 11
    The application of metaheuristics in network routing and inventory routing problem / Huda Zuhrah Ab Halim

    The application of metaheuristics in network routing and inventory routing problem / Huda Zuhrah Ab Halim by Huda Zuhrah, Ab Halim

    Published 2012
    “…In this thesis, we study two powerful metaheuristics method that are Genetic Algorithm (GA) and Variable Neighborhood Search (VNS). …”
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  12. 12
    Review of data fusion methods for real-time and multi-sensor traffic flow analysis

    Review of data fusion methods for real-time and multi-sensor traffic flow analysis by Kashinath S.A., Mostafa S.A., Mustapha A., Mahdin H., Lim D., Mahmoud M.A., Mohammed M.A., Al-Rimy B.A.S., Fudzee M.F.M., Yang T.J.

    Published 2023
    Review
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  13. 13
    Artificial Neural Network Algorithms to Predict the Compressive Strength of Fly Ash-Based Geopolymers

    Artificial Neural Network Algorithms to Predict the Compressive Strength of Fly Ash-Based Geopolymers by Siaw Hui, Teo

    Published 2025
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  14. 14
    Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem

    Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem by Tan, Li June, Joe H. Obit, Leau, Yu Beng, Jetol Bolongkikit, Rayner Alfred

    Published 2020
    “…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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  15. 15
    Sequential Constructive Algorithm incorporate with Fuzzy Logic for Solving Real World Course Timetabling Problem

    Sequential Constructive Algorithm incorporate with Fuzzy Logic for Solving Real World Course Timetabling Problem by Tan, Li June, Joe Henry Obit, Leau, Yu Beng, Jetol Bolongkikit, Rayner Alfred

    Published 2020
    “…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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  16. 16
    An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach

    An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach by Mohamed Yassin, Warusia

    Published 2015
    “…Thus, IADS is a better solution for anomaly detection methods in detecting untrustworthy behaviour and to define attack and normal behaviours more accurately.…”
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  17. 17
    Development of Hybrid Algorithm for Integrated Aircraft Routing Problem and Crew Pairing Problem

    Development of Hybrid Algorithm for Integrated Aircraft Routing Problem and Crew Pairing Problem by NurulFarihan Mohamed, ZaitulMarlizawati Zainuddin, Said Salhi, Nurul Huda Mohamed, NurulAkmal Mohamed

    Published 2024
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  18. 18
    Modeling and Optimization of Tapered Rectangular Thin-walled Columns Subjected to Oblique Loading for Impact Energy Absorption

    Modeling and Optimization of Tapered Rectangular Thin-walled Columns Subjected to Oblique Loading for Impact Energy Absorption by Siti Aishah, Rusdan, Tarlochan, Faris, Mohamad Rusydi, Mohamad Yasin

    Published 2013
    “…By using the approximation of the response function, the response surface of SEA is constructed with respect to design variables. RS model using quadratic polynomial function is given as equation (1) below. …”
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  19. 19
    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems

    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems by Nazif, Habibeh

    Published 2010
    “…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
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  20. 20
    Enhanced Flipping Technique to Reduce Variability in Image Steganography

    Enhanced Flipping Technique to Reduce Variability in Image Steganography by Kamil S., Abdullah S.N.H.S., Hasan M.K., Bohani F.A.

    Published 2023
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