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  1. 1
    Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem

    Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem by Zamani M.K.M., Musirin I., Suliman S.I., Mustaffa S.A.S.

    Published 2023
    “…The presence of classical optimisation techniques has enabled an optimal solution to be obtained. …”
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  2. 2
    AN ENSEMBLE APPROACH OF METAHEURISTIC ALGORITHMS WITH PARABOLIC APPROXIMATION TO OPTIMIZE WELL PLACEMENT PROBLEM

    AN ENSEMBLE APPROACH OF METAHEURISTIC ALGORITHMS WITH PARABOLIC APPROXIMATION TO OPTIMIZE WELL PLACEMENT PROBLEM by ISLAM, JAHEDUL

    Published 2021
    “…In previous research, classical and non-classical optimization techniques were used to solve well placement optimization problem. …”
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  3. 3
    A biogeography-based optimization algorithm hybridized with tabu search for the quadratic assignment problem

    A biogeography-based optimization algorithm hybridized with tabu search for the quadratic assignment problem by Lim, Wee Loon, Wibowo, Antoni, Desa, Mohammad Ishak, Haron, Habibollah

    Published 2016
    “…The quadratic assignment problem (QAP) is an NP hard combinatorial optimization problem with a wide variety of applications.Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of migration strategy of species to derive algorithm for solving optimization problems.It has been shown that BBO provides performance on a par with other optimization methods.A classical BBO algorithm employs the mutation operator as its diversification strategy. …”
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  4. 4
    A Biogeography-Based Optimization Algorithm Hybridized With Tabu Search For The Quadratic Assignment Problem

    A Biogeography-Based Optimization Algorithm Hybridized With Tabu Search For The Quadratic Assignment Problem by Wee, Loon Lim, Antoni, Wibowo, Mohammad Ishak, Desa, Habibollah, Haron

    Published 2016
    “…It has been shown that BBO provides performance on a par with other optimization methods. A classical BBO algorithm employs the mutation operator as its diversification strategy. …”
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  5. 5
    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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  6. 6
    An Efficient Solution to Travelling Salesman Problem using Genetic Algorithm with Modified Crossover Operator

    An Efficient Solution to Travelling Salesman Problem using Genetic Algorithm with Modified Crossover Operator by Hossain, Md. Sabir, Tanim, Ahsan Sadee, Choudhury, Sadman Sakib, Hayat, S. M. Afif Ibne, M. Nomani, Kabir, Islam, Mohammad Mainul

    Published 2019
    “…The efficiency of the proposed algorithm is compared to the classical genetic algorithm. …”
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  7. 7
    A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem

    A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem by Alharbi, Saad, Venkat, Ibrahim

    Published 2017
    “…However, literature shows that limited research has been carried out to solve theMDSQP using bioinspired algorithms. To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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  8. 8
    A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem

    A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem by Alharbi, Saad, Venkat, Ibrahim

    Published 2017
    “…However, literature shows that limited research has been carried out to solve theMDSQP using bioinspired algorithms. To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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  9. 9
    Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah

    Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah by Ali, Sadollah

    Published 2013
    “…The obtained optimization results shows that the proposed new metaheuristic algorithms are capable of offering faster convergence rate in addition to offering better optimal solutions compared to other optimizers. …”
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  10. 10
    A review: accuracy optimization in clustering ensembles using genetic algorithms

    A review: accuracy optimization in clustering ensembles using genetic algorithms by Ghaemi, Reza, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Mustapha, Norwati

    Published 2011
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  11. 11
    A New Approach To The Solution Of Economic Dispatch Using Genetic Algorithm

    A New Approach To The Solution Of Economic Dispatch Using Genetic Algorithm by Al-Shetwi, Ali Q., Alomoush, Muwaffaq I.

    Published 2016
    “…The results of this study are compared with the classical optimization calculation techniques, and it is found that the results were almost equal. …”
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  12. 12
    A review on autonomous mobile robot path planning algorithms

    A review on autonomous mobile robot path planning algorithms by Noraziah, Adzhar, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2020
    “…The emerging trend of modern industry automation requires intelligence to be embedded into mobile robot for ensuring optimal or near-optimal solutions to execute certain task. …”
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  13. 13
    Comparative study of several classical and modified conjugate gradient using inexact line search / Uzir Ibrahim

    Comparative study of several classical and modified conjugate gradient using inexact line search / Uzir Ibrahim by Ibrahim, Uzir

    Published 2018
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  14. 14
    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
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  15. 15
    Seed disperser ant algorithm for optimization / Chang Wen Liang

    Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

    Published 2018
    “…In this research, we applied SDAA to solve the constrained engineering problems and introduce an efficient data clustering algorithm which is hybrid of K-means and SDAA. The optimal results obtained for constrained engineering problems as well as data clustering are very promising in terms of quality of solutions and convergence speed of the algorithm.…”
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  16. 16
    Performance evaluation of real-time multiprocessor scheduling algorithms

    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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  17. 17
    Optimal reactive power dispatch using multistage artificial immune system

    Optimal reactive power dispatch using multistage artificial immune system by Nordin N.F., Mansor M.H., Kamil K., Roslan N.

    Published 2023
    “…This algorithm was made by modifying and upgrading the classical AIS optimization method. …”
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  18. 18
    A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega)

    A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega) by Tan, Tun Tai

    Published 2009
    “…However, it is impractical to solve MOOP by using classical methods due to its complexity. Genetic Algorithms (GAs) are a powerful stochastic search in solving optimization problems. …”
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    Final Year Project Report / IMRAD
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  19. 19
    The Implementation of Genetic Algorithm in Path Optimization

    The Implementation of Genetic Algorithm in Path Optimization by Jumali, Suriana

    Published 2005
    “…Since 1800s when first mathematical problems related to TSP was treated, it became an interesting topic of optimization problem to be studied. In this project, TSP will be used to model and easy visualize the path optimization problem and Genetic Algorithm (GA) was chosen to be implemented in resolving the problem. …”
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    Final Year Project
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  20. 20
    Full waveform inversion based on genetic local search algorithm with hybrid-grid scheme

    Full waveform inversion based on genetic local search algorithm with hybrid-grid scheme by Hamamoto, M., Rahim Md Arshad, A., Prasad Ghosh, D.

    Published 2019
    “…Although global optimization methods such as genetic algorithm (GA) are less affected by the presence of local minima, those methods are affected by "curse of dimensionality." …”
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