Search Results - different ((selection algorithm) OR (generation algorithm))

Search alternatives:

Refine Results
  1. 1
    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms

    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection

    An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection by Md Badarudin, Ismadi, Md Sultan, Abu Bakar, Sulaiman, Md. Nasir, Mamat, Ali, Tengku Muda Mohamed, Mahmud

    Published 2012
    “…This paper presents the design of algorithm solution for selecting a planting lining technique. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  3. 3
    A novel clustering based genetic algorithm for route optimization

    A novel clustering based genetic algorithm for route optimization by Aibinu, Abiodun Musa, Salau, Habeeb Bello, Najeeb, Athaur Rahman, Nwohu, Mark Ndubuka, Akachukwu, Chichebe

    Published 2016
    “…It was also observed that the introduction of clustering based selection algorithm guaranteed the selection of cluster with the optimal solution in every generation. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Comparison between Genetic Algorithm and Prey-Predator Algorithm.

    Comparison between Genetic Algorithm and Prey-Predator Algorithm. by Ong, Hong Choon

    “…The use of metaheuristic algorithms to different problems becomes very common after the introduction of genetic algorithm in 1975. …”
    Get full text
    Monograph
    Save to List
    Saved in:
  5. 5
    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy

    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

    Published 2023
    Article
    Save to List
    Saved in:
  6. 6
    An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion

    An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion by Haque, Ariful

    Published 2018
    “…The algorithms are used to generate test cases for nine different Boolean expressions of different size and complexities. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…Individuals for the next generation are selected by using the objective function. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)

    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM) by Shamim, Akhtar

    Published 2024
    “…This study recommends a selection trade-off as the function of prediction efficiency and efficacy of the algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Selection, generation and extraction of MCCTree using XMCCTree

    Selection, generation and extraction of MCCTree using XMCCTree by Sazaly, Ummu Sulaim, Selamat, Mohd Hasan, Baharom, Salmi, A. Jabar, Marzanah

    Published 2012
    “…Thus, this paper presents a new algorithm that implements the same notions with different approach. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Broadening selection competitive constraint handling algorithm for faster convergence

    Broadening selection competitive constraint handling algorithm for faster convergence by Shaikh, T.A., Hussain, S.S., Tanweer, M.R., Hashmani, M.A.

    Published 2020
    “…In this paper, a new algorithm incorporating broadening selection strategy in competitive constraint handling paradigm for finding the optimum solution in constrained problems has been proposed, referred as Broadening Selection Competitive Constraint Handling (BSCCH). …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    A novel Bezier curve control point search algorithm for autonomous navigation using N-order polynomial search with boundary conditions

    A novel Bezier curve control point search algorithm for autonomous navigation using N-order polynomial search with boundary conditions by Sajith, Akhil Vinayak, Zakaria, M. A., Baarath, K., Anwar, P. P. Abdul Majeed

    Published 2021
    “…This method is able to generate the desired Bezier curve through the selected points. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  12. 12
    Evaluation of data mining models for predicting concrete strength

    Evaluation of data mining models for predicting concrete strength by Wong, Chuan Ming

    Published 2024
    “…The best performing model is selected and used to generate different sets objective-function that will be selected and used in a Particle Swarm Optimization algorithm to solve a single objective optimization problem that finds the optimal values of each concrete feature to maximize the strength of concrete. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  13. 13
    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…There are a variety of algorithms in this class with different objectives, advantages and drawbacks. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Enhance efficiency of answering XML keyword query using incompact structure of MCCTree

    Enhance efficiency of answering XML keyword query using incompact structure of MCCTree by Sazaly, Ummu Sulaim

    Published 2012
    “…Those processes constructed MCCTreeGenerator algorithm which will produce the same subtree as MCCTree but difference in its structure. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin

    Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin by Shamsudin, Farah Syadiyah

    Published 2017
    “…However, different number of generations applied in CSA will give different result of the verification process. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Application Of Genetic Algorithms For Robust Parameter Optimization

    Application Of Genetic Algorithms For Robust Parameter Optimization by Belavendram, N.

    Published 2010
    “…The resulting child generation of individuals has a better fitness level akin to natural selection, namely evolution. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Committee neural networks with fuzzy genetic algorithm.

    Committee neural networks with fuzzy genetic algorithm. by Jafari , S.A., Mashohor , Syamsiah, Varnamkhasti, M. Jalali

    Published 2011
    “…Premature convergence is a classical problem in finding optimal solution in genetic algorithms. In this paper, we propose a new technique for choosing the female chromosome during sexual selection to avoid the premature convergence in a genetic algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation

    An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation by Kamal Z., Zamli, Fakhrud, Din, Kendall, Graham, Ahmed, Bestoun S.

    Published 2017
    “…Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-way test generation strategy (where t indicates the interaction strength) including Genetic Algorithms (GA), Ant Colony Optimization (ACO), Simulated Annealing (SA), Cuckoo Search (CS), Particle Swarm Optimization (PSO), and Harmony Search (HS). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing

    Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing by Muazu, A.A., Hashim, A.S., Sarlan, A.

    Published 2022
    “…This research paper outlines hundred and ten (110) outstanding nature-inspired metaheuristic algorithms for the last decades (2001 and 2021) such as Coronavirus Optimization Algorithm, Ebola Optimization Algorithm, Harmony Search, Tiki-Taka Algorithm, and so on. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Randomness Evaluation of Modified Lblock Cipher

    Randomness Evaluation of Modified Lblock Cipher by Nik Azura Binti Nik Abdullah

    Published 2024
    thesis::master thesis
    Save to List
    Saved in:

Search Tools: