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  1. 1
    Simulated Kalman Filter algorithms for solving optimization problems

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…The algorithms are evaluated using 30 benchmark functions of the CEC2014 benchmark suite, and then applied to solve PCB drill path optimization case study. …”
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  2. 2
    Improvement and application of particle swarm optimization algorithm

    Improvement and application of particle swarm optimization algorithm by Deevi, Durga Praveen, Kodadi, Sharadha, Allur, Naga Sushma, Dondapati, Koteswararao, Chetlapalli, Himabindu, Perumal, Thinagaran

    Published 2025
    “…This method combines CPTD with the Genetic Algorithm and PSO (GAPSO), resulting in an effective strategy for dynamic formation reconfiguration and path optimization. …”
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  3. 3
    Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems

    Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems by Salih, Dhiadeen Mohammed

    Published 2015
    “…The WNMPC is developed by a proposed algorithm named adaptive updating rule (AUR) used with gradient descent optimization method to minimize a constrained cost function over the prediction and control horizons and to offer a robust control performances. …”
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  4. 4
    Path planning algorithm for a car like robot based on MILP method

    Path planning algorithm for a car like robot based on MILP method by Mohd Sadri, Mohd Pawzi

    Published 2013
    “…This project is presents an algorithm for path planning optimal routes mobile robot “like a car” to a target in unknown environment. …”
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  5. 5
    Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming

    Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming by Che Ku, Nor Azie Hailma, Omar, Rosli, Sabudin Elia Nadira, Sabudin Elia Nadira

    Published 2016
    “…Cooperative path planning fuses information from all agents to plan an optimal path. …”
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  6. 6
    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article

    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article by Othman, Nor Shuhaida

    Published 2010
    “…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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  7. 7
    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator

    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator by Othman, Nor Shuhaida

    Published 2010
    “…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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  8. 8
    Path Following Using A Learning Neural Network

    Path Following Using A Learning Neural Network by NHH , Mohamad Hanif

    Published 2004
    “…This thesis is a development ofprevious works done by [2} on capability of neural controller to efficiently track prescribed paths. Equipped with knowledge on optimal preview control obtained from [1], the initial weights of linear and nonlinear neural controller are initialized to the optimal gains. …”
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    Final Year Project
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  9. 9
    Optimized topology control in mobile IP networks using a new parametric routing algorithm

    Optimized topology control in mobile IP networks using a new parametric routing algorithm by Gholizadeh, Somayyeh, Abdullah, Azizol, Othman, Mohamed, Mohd Hanapi, Zurina

    Published 2018
    “…For this purpose, an Optimal Parametric Topology Control Routing (OPTCR) algorithm is introduced based on parametric linear programming formulation (LPF). …”
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  10. 10
    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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  11. 11
    On network flow problems with convex cost

    On network flow problems with convex cost by Nguyen, V.A., Tan, Y. P.

    Published 2004
    “…To address this problem, we derive the optimality conditions for minimising convex and differentiable cost functions, and devise an algorithm based on the primal-dual algorithm commonly used in linear programming. …”
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  12. 12
    Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model

    Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model by Selva A.M., Yahaya M.S., Azis N., Ab Kadir M.Z.A., Jasni J., Yang Ghazali Y.Z.

    Published 2023
    Conference Paper
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  13. 13
    Design and modelling of an autonomous robotic airship with soft computing control

    Design and modelling of an autonomous robotic airship with soft computing control by Wong, Wei Kitt

    Published 2012
    “…Along with the prototype airship, a path planner was also proposed for the UAV for the purpose of obstacle avoidance and path optimization using genetic algorithm to minimize on the distance travelled and to generate the shortest path to cover the specified waypoints. …”
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  14. 14
    Composite nonlinear feedback control with multi-objective particle swarm optimization for active front steering system

    Composite nonlinear feedback control with multi-objective particle swarm optimization for active front steering system by Ramli L., Sam Y.M., Mohamed Z., Khairi Aripin M., Fahezal Ismail M.

    Published 2024
    journal::journal article
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  15. 15
    A mating technique for various crossover in genetic algorithm for optimum system identification

    A mating technique for various crossover in genetic algorithm for optimum system identification by Abd Samad @ Mahmood, Md Fahmi, Zainuddin, Farah Ayiesya

    Published 2021
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  16. 16
    A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan

    A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan by Nauman , Khan

    Published 2024
    “…It is framed as a mixed-integer linear programming problem. To address this complexity, this work presents a multi-objective heuristic algorithm in the framework with the help of other module inputs that efficiently determines the best path for upcoming affected flows and timely isolates the maintenance switch except for the critical switch. …”
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  17. 17
    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar

    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar by Mohamed Azhar, Nur Afiqah

    Published 2019
    “…Therefore, numerical method in the form of bracketing method is often used to find only the approximate root of the function. …”
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  18. 18
    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions

    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions by Abbas, Iraq Tareq

    Published 2018
    “…The second technique is to solve bi-objective functions by using the BOBAT algorithm. The third technique is an integration of BOGSA with BOBAT to produce a BOGSBAT algorithm. …”
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  19. 19
    Determining the preprocessing clustering algorithm in radial basis function neural network

    Determining the preprocessing clustering algorithm in radial basis function neural network by S.L. Ang, H.C. Ong, H.C. Law

    Published 2008
    “…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
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  20. 20
    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller

    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller by Ismail, H. Muh Yusuf

    Published 2010
    “…Thus it is important to select the accurate membership functions but these methods possess one common weakness where conventional FLC use membership function and control rules generated by human operator. …”
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