Search Results - (( developing practical solutions algorithm ) OR ( java application stemming algorithm ))

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  1. 1

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…In this way, the real solution is closely approximated. Through the practical examples, the applicability, efficiency and effectiveness of these integrated sub-algorithms have been demonstrated through solving several practical real world examples. …”
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    Thesis
  2. 2

    CSC126 - Fundamentals of Algorithms and Computer Problem Solving / Faculty of Computer And Mathematical Sciences by UiTM, Faculty of Computer And Mathematical Sciences

    Published 2023
    “…In the end they are expected to develop the ability to analyze simple problems, organize effective algorithmic solutions for the problems and write computer programs to solve them.…”
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    Teaching Resource
  3. 3

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

    Published 2019
    “…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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    Thesis
  4. 4

    Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity by Ahmad Azwan, Abdul Razak

    Published 2019
    “…Moreover, with the fast development in computing technology, application of optimization algorithm in solving problems is easier and becomes more practical. …”
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    Thesis
  5. 5

    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

    Published 2015
    “…Genetic Algorithm (GA), Ant Colony (AC), Simulated Annealling (SA), Particle Swarm Optimization, and Harmony Search Algorithm (HS) as their basis in an effort to generate the most optimal solution. …”
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    Article
  6. 6

    A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem by Ramli, Razamin, Abd Rahman, Rosshairy, Rohim, Nurdalila

    Published 2019
    “…Specifically, three main phases were involved in developing the hybrid model, which are generating an initial roster, updating the roster through the ACO algorithm, and implementing the hill climbing to further search for a refined solution. …”
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    Article
  7. 7

    Agreement options for negotiation on material location decision of housing development by Utomo, C., Rahmawati, Y.

    Published 2020
    “…Decision algorithms are based on the cooperative game theory to develop the agreement options and coalition formation. …”
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    Article
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    Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development by Kehinde, Okewu, Emmanuel, Okewu, Wong, Ling Shing, Siti Sarah, Maidin

    Published 2023
    “…The study applied genetic algorithm as a stochastic optimizer using Python programming to determine the convergence pattern for obtaining an optimal cowpea solution that combines high yield and drought-tolerance. …”
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    Article
  10. 10

    Alternative method for economic dispatch utilizing grey wolf optimizer by Wong, Lo Ing

    Published 2015
    “…Although several optimization methodologies have been developed for solving ED problems, the complexity of the task reveals the necessity for development of efficient algorithms to accurately locate the optimum solution. …”
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    Thesis
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    Computerised Heuristic Algorithm for Multi-location Lecture Timetabling by Kuan, Huiggy

    Published 2020
    “…This research focuses on multi-location coursework timetabling problem for Master of Science in Human Resource Development (MSc HRD) at the Faculty of Cognitive Sciences and Human Development (FCSHD), Universiti Malaysia Sarawak (UNIMAS). …”
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    Thesis
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    Development of an integrated scheduling model for handling equipment in automated port container terminals by Sadeghian, Syed Hamidreza

    Published 2014
    “…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
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    Thesis
  16. 16

    Backtracking search algorithm for optimal power dispatch in power system / Mostafa Modiri Delshad by Mostafa, Modiri Delshad

    Published 2016
    “…The proposed method is also compared with other well-known optimization methods from the literature in terms of the solution quality. The results show that the proposed method is highly robust when it deals with the practical power dispatch problems and its convergence characteristics make it a promising solution approach for power dispatch problems. …”
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  17. 17

    Case Study: University Lecture Timetabling Without Pre-registration Data by Sze, San Nah, Bong, Chia Lih, Chiew, Kangleng, Tiong, Wei King, Noor Alamshah, Bolhassan

    Published 2017
    “…Due to all these issues, the objective of this study is to develop a computerised algorithm to minimise the clashes issue and increase venue utilisation. …”
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    Article
  18. 18

    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm by Molamohamadi, Zohreh

    Published 2015
    “…A hybrid metaheuristic algorithm which combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, is then developed to solve the established models. …”
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    Thesis
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    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) by Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin

    Published 2008
    “…The paper conducts design optimization of CAMPRO 1.6L (S4PH) engine valve timing at various engine speeds using multi-objective genetic algorithm (MOGA) for the future variable valve timing (VVT) system research and development. …”
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    Proceeding Paper
  20. 20

    Flexible job shop scheduling using priority heuristics and genetic algorithm by Farashahi, Hamid Ghaani

    Published 2010
    “…In the next method, a genetic algorithm has been developed. It has been shown that proposed genetic algorithm with a reinforced initial population (GA2) has better efficiency compared to a proposed genetic algorithm with fully random initial population (GA0). …”
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    Thesis