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  1. 1

    Improving Class Timetabling using Genetic Algorithm by Qutishat, Ahmed Mohammed Ali

    Published 2006
    “…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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    Thesis
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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
  4. 4

    Harmony great deluge for solving curriculum based course timetabling problem by Wahid, Juliana, Mohd Hussin, Naimah

    Published 2013
    “…University course timetabling which has been determined as non deterministic polynomial problem that accept widely as problem that are intractable.An efficient algorithm does not exist that is guaranteed to find an optimal solution for such problems.The design of good algorithm to find new methods and techniques to solve such problem is a very active area of research.This paper presents the adaption of the hybridizing between harmony search with great deluge algorithm for solving curriculum-based course timetabling problems.The algorithm can be adapted to the problem.Results were not comparatively better than those previously known as best solution.Proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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    Conference or Workshop Item
  5. 5

    Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

    Published 2023
    “…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. …”
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    Book Section
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    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim by Matakim, Aryani Rima

    Published 2025
    “…The shooting method is an effective numerical approach for solving boundary value problems (BVPs) by converting it into initial value problems (IVPs). …”
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    Thesis
  8. 8

    Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria by Ting, Kien Hua, Noraini Abdullah

    Published 2018
    “…Weighted Sum Method (WSM) is one of the weighting methods to solve the multi criteria decision making problems (MCDM). …”
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    Article
  9. 9

    A discrete simulated kalman filter optimizer for combinatorial optimization problems by Suhazri Amrin, Rahmad

    Published 2022
    “…Due to the practical significance of this problem in real-world issues, numerous algorithms have been proposed to solve it. …”
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    Thesis
  10. 10

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
  11. 11

    Cognitive processes in problem solving: bridging the intersection of cognition and management science problems by Cheng, Sheila, Siow, Heng Loke

    Published 2011
    “…Using Malaysian undergraduate business students as a case study, the second part of this paper is to propose a 7-step problem solving algorithmic model in a an attempt to improve the cognitive processes of students in solving MS problems and the quality of decision making.…”
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    Journal
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    Finding minimum path by using Genetic Algorithm (GA)/ Siti Zuraifah Hashim by Hashim, Siti Zuraifah

    Published 2007
    “…Dijkstra's Algorithm is one of them. This approach solves the single-source shortest path problem with nonnegative edge weights. …”
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    Thesis
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    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
    “…We introduced a method that combines a compromise programming (CP) approach and metaheuristic algorithms, including the genetic algorithm (GA) and ant colony optimization (ACO), to solve the proposed optimization problem. …”
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    Article
  14. 14

    Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems by Chang C.C.W., Ding T.J., Ee C.C.W., Han W., Paw J.K.S., Salam I., Bhuiyan M.A.S., Kuan G.S.

    Published 2025
    “…Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms (MHOAs) have gained many attentions from researchers all over the world due to their capabilities in solving various decision-making problems. …”
    Review
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    An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis by Kamis, Nor Hanimah

    Published 2009
    “…This model can be used as an alternative tool in solving MCDM problems.…”
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    Thesis
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    Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints by M. H., Sulaiman

    Published 2012
    “…This paper presents a modified Firefly Algorithm (MFA) for solving economic dispatch (ED) problems. …”
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    Conference or Workshop Item
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    Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem by Jarin, Sams, Khatun, Mst Khaleda, Shafie, Amir Akramin

    Published 2016
    “…In this paper, we formulate a crop planning problem as a multiobjective optimization model and try to solve two different versions of the problem using two different optimization algorithms MCA and NSGA. …”
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    Article
  19. 19

    Optimization of mycelium growth using genetic algorithm for multi-objective functions by Muhamad Faiz, Abu Bakar

    Published 2019
    “…However, for optimizing mycelium growth, there are more than one function that needs to be calculated and solved, making this problem as a multi-objective optimization problem. …”
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    Undergraduates Project Papers
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    Tutorials on African Buffalo Optimization for Solving the Travelling Salesman Problem by Odili, Julius Beneoluchi, M. N. M., Kahar, S., Anwar, M., Ali

    Published 2017
    “…This paper presents a practical demonstration of the workings of the African Buffalo Optimization in solving the popular travelling salesman problem. It is our belief that this tutorial paper will be helpful in further introducing the new algorithm and making it user-friendly.…”
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    Article