Search Results - (( initial solution method algorithm ) OR ( probable optimization method algorithm ))

Search alternatives:

Refine Results
  1. 1
    Comparisons between Newton and Quasi-Newton method in solving unconstrained optimization problems / Naznin Faiqa Khirul Fozi & Hanis Sofia Mohd Rodi

    Comparisons between Newton and Quasi-Newton method in solving unconstrained optimization problems / Naznin Faiqa Khirul Fozi & Hanis Sofia Mohd Rodi by Khirul Fozi, Naznin Faiqa, Mohd Rodi, Hanis Sofia

    Published 2019
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Simulated Kalman Filter algorithms for solving optimization problems

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

    Published 2019
    “…However, the HKA algorithm has its own flaws. Although it was introduced as a population-based stochastic optimization algorithm, HKA is not exactly a population-based algorithm because it initializes and updates only a single solution. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Three term Conjugate Gradient for solving unconstrained optimization / Nur Farah Hanis Rozaimi

    Three term Conjugate Gradient for solving unconstrained optimization / Nur Farah Hanis Rozaimi by Rozaimi, Nur Farah Hanis

    Published 2018
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT

    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by Suwayo, Heri, Adrishah, Andi, Andika, Juleri, Shamdudin, Abu Ubaidah, Zakaria, Mohamad Fauzi

    Published 2023
    “…However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences

    Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences by Adnan Ashraf, Sobia Pervaiz, Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Danda B. Rawat

    Published 2021
    “…These algorithms can affect convergence to identify a robust optimum solution. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems

    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

    Published 2009
    “…Most practical discrete-valued optimal control problems have multiple local minima and thus require global optimization methods to generate practically useful solutions. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin

    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin by Ong, Chung Sin

    Published 2013
    “…The problem was initially tackled by “exact methods” such as the branch and bound method, which is based on the exhaustive enumeration of a restricted region of solutions containing exact optimal solutions. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa

    Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa by Che Isa, Muhammad Izzat Imran

    Published 2017
    “…In future, traditional marble game can be applied with other search algorithm to optimize the solution…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Three term conjugate gradient for solving unconstrained optimization using exact line search / Alia Syafiqa Suhaimi & Nur Hasnah Md Hassan

    Three term conjugate gradient for solving unconstrained optimization using exact line search / Alia Syafiqa Suhaimi & Nur Hasnah Md Hassan by Suhaimi, Alia Syafiqa, Md Hassan, Nur Hasnah

    Published 2019
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    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
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Numerical performance of three conjugate gradient methods using exact line search / Nurul Asyiqin Sobaruddin

    Numerical performance of three conjugate gradient methods using exact line search / Nurul Asyiqin Sobaruddin by Sobaruddin, Nurul Asyiqin

    Published 2019
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi

    Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi by Mohd Azmi, Nurfarahi Naabihah

    Published 2021
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction

    Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction by Ong, Pauline, Zainuddin, Zarita

    Published 2019
    “…The resulting solutions from the MCSA are then used as the initial translation vectors for the WNNs. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Numerical solution of unconstrained optimization problems using three-term approach of RMIL conjugate gradient method / Riza Haryani Johari

    Numerical solution of unconstrained optimization problems using three-term approach of RMIL conjugate gradient method / Riza Haryani Johari by Johari, Riza Haryani

    Published 2020
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Optimum design of a standalone solar photovoltaic system based on novel integration of iterative-PESA-II and AHP-VIKOR methods

    Optimum design of a standalone solar photovoltaic system based on novel integration of iterative-PESA-II and AHP-VIKOR methods by Ridha, Hussein Mohammed, Gomes, Chandima, Hizam, Hashim, Ahmadipour, Masoud, Muhsen, Dhiaa Halboot, Ethaib, Saleem

    Published 2020
    “…In this study, a novel hybrid sizing approach was developed on the basis of techno-economic objectives to optimally size the SAPV system. The proposed hybrid method consisted of an intuitive method to estimate initial numbers of PV modules and storage battery, an iterative approach to accurately generate a set of wide ranges of optimal configurations, and a Pareto envelope-based selection algorithm (PESA-II) to reduce large configuration by efficacy obtaining a set of Pareto front (PF) solutions. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain

    Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain by Roslee, Muhammad Sharifuddin

    Published 2022
    “…Due to the random nature of metaheuristic approaches, there is a high probability that global optimal solutions will be discovered. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  17. 17
    Optimum design of a standalone photovoltaic system based on integration of iterative-PESA-II and AHP-VICKOR methods

    Optimum design of a standalone photovoltaic system based on integration of iterative-PESA-II and AHP-VICKOR methods by Ridha, Hussein Mohammed, Gomes, Chandima, Hizam, Hashim, Ahmadipour, Masoud, Muhsen, Dhiaa Halboot, Ethaib, Saleem

    Published 2020
    “…In this study, a novel hybrid sizing approach was developed on the basis of techno-economic objectives to optimally size the SAPV system. The proposed hybrid method consisted of an intuitive method to estimate initial numbers of PV modules and storage battery, an iterative approach to accurately generate a set of wide ranges of optimal configurations, and a Pareto envelope-based selection algorithm (PESA-II) to reduce large configuration by efficacy obtaining a set of Pareto front (PF) solutions. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Optimum calculation of tilt angles and components of standalone photovoltaic system to harvest solar energy

    Optimum calculation of tilt angles and components of standalone photovoltaic system to harvest solar energy by Ahmed, Ameen Sarhan Abdullah

    Published 2018
    “…Moreover, an improved optimization method for sizing and configuration standalone photovoltaic (PV) systems is presented. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern

    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
    “…These two models are based on topological placement method. DM is optimized using genetic algorithm (GA). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Tree-based contrast subspace mining method

    Tree-based contrast subspace mining method by Florence Sia Fui Sze

    Published 2020
    “…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: