Search Results - intelligence based ((search algorithm) OR (((new algorithm) OR (_ algorithm))))

Search alternatives:

Refine Results
  1. 1
    Hybrid Intelligent Water Drops Algorithm For Examination Timetabling Problem

    Hybrid Intelligent Water Drops Algorithm For Examination Timetabling Problem by Bashar A.Aldeeb, Mohammed Azmi Al-Betar, Norita Md Norwawi, Khalid A.Alissa, Mutasem K.Alsmadi, Ayman A.Hazaymeh, Malek Alzaqebah

    Published 2024
    Article
    Save to List
    Saved in:
  2. 2
    Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis

    Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis by Ashraf Osman, Ibrahim, Siti Mariyam, Shamsuddin, Abdulrazak, Yahya Saleh, Ahmed, Ali, Mohd Arfian, Ismail, Shahreen, Kasim

    Published 2019
    “…However, the performance of such methods is based on the algorithms or technique. In this paper, we develop an intelligent technique using multiobjective evolutionary method hybrid with a local search approach to enhance the backpropagation neural network. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    African Buffalo Optimization (ABO): A New Metaheuristic Algorithm

    African Buffalo Optimization (ABO): A New Metaheuristic Algorithm by Odili, Julius Beneoluchi, M. N. M., Kahar

    Published 2015
    “…The African buffalo algorithm evolved from an understanding of the animal's survival instincts and the search techniques they utilize in the African forests and savannahs; the search for the optimal path to pasture is aligned to their cooperative, intelligent, and social nature. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
    “…GA assists in optimizing the search process and performs machine learning. Within the GA, nearest neighbor algorithm is used in determining the most similar recorded case that can be used in solving the new case. …”
    Conference paper
    Save to List
    Saved in:
  5. 5
    A new variable strength t-way strategy based on the cuckoo search algorithm

    A new variable strength t-way strategy based on the cuckoo search algorithm by Abdullah, Nasser, Kamal Z., Zamli

    Published 2019
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  6. 6
    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
    “…The aim of the proposed approach is to study the benefit of using visualization techniques to explorer Genetic Algorithm data based on gene values. The user participates in the search by proposing a new individual. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    A Brief Review of Cuckoo Search Algorithm (CSA) Research Progression from 2010 to 2013

    A Brief Review of Cuckoo Search Algorithm (CSA) Research Progression from 2010 to 2013 by Shair, Ezreen Farina, Khor, Shen Young, Abdullah, Abdul Rahim, Jaafar, Hazriq Izzuan, Mohd Ali, Nursabillilah, Zainal Abidin, Amar Faiz

    Published 2014
    “…Cuckoo Search Algorithm is a new swarm intelligence algorithm which based on breeding behavior of the Cuckoo bird. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems

    Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems by Yasear, Shaymah Akram

    Published 2020
    “…This indicates the capability of the algorithm in exploring the search space. The 2S-ENDSHHMO algorithm can be used to improve the search process of other MOSI-based algorithms and can be applied to solve MOPs in applications such as structural design and signal processing.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection

    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

    Published 2020
    “…The second improvement includes the development and use of new Local Search Algorithm with SSA to improve its exploitation. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems

    Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems by Chang C.C.W., Ding T.J., Ee C.C.W., Han W., Paw J.K.S., Salam I., Bhuiyan M.A.S., Kuan G.S.

    Published 2025
    “…These algorithms are inspired and modelled based on the searching behaviour of animals in real life. …”
    Review
    Save to List
    Saved in:
  11. 11
    Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm

    Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm by Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Asrul, Adam, Norrima, Mokhtar, Marizan, Mubin, Mohd Ibrahim, Shapiai

    Published 2014
    “…This study focuses on using GSA method, a new computational intelligence algorithm. Moreover, a rule-based classifier is employed to distinguish a peak point based on the selected features. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  12. 12
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
    “…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    An adaptive gravitational search algorithm for global optimization

    An adaptive gravitational search algorithm for global optimization by Koay Y.-Y., Tan J.-D., Lim C.-W., Koh S.-P., Tiong S.-K., Ali K.

    Published 2023
    “…Gravitational Search Algorithm (GSA) is one of the relatively new population-based optimization algorithms. …”
    Article
    Save to List
    Saved in:
  14. 14
    Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy

    Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy by Bhandari, A.K., Singh, V.K, Kumar, A., Singh, G.K.

    Published 2014
    “…To overcome this problem, two successful swarm-intelligence-based global optimization algorithms, cuckoo search (CS) algorithm and wind driven optimization (WDO) for multilevel thresholding using Kapur’s entropy has been employed. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Performance Enhancement Of Artificial Bee Colony Optimization Algorithm

    Performance Enhancement Of Artificial Bee Colony Optimization Algorithm by Abro, Abdul Ghani

    Published 2013
    “…To overcome the problems, this research work has proposed few modified and new ABC variants; Gbest Influenced-Random ABC (GRABC) algorithm systematically exploits two different mutation equations for appropriate exploration and exploitation of search-space, Multiple Gbest-guided ABC (MBABC) algorithm enhances the capability of locating global optimum by exploiting so-far-found multiple best regions of a search-space, Enhanced ABC (EABC) algorithm speeds up exploration for optimal-solutions based on the best so-far-found region of a search-space and Enhanced Probability-Selection ABC (EPS-ABC) algorithm, a modified version of the Probability-Selection ABC algorithm, simultaneously capitalizes on three different mutation equations for determining the global-optimum. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    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
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    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
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation

    An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation by Abdullah, Nasser, Hujainah, Fadhl, Al-Sewari, Abdulrahman A., Kamal Z., Zamli

    Published 2020
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  19. 19
    Transform of Artificial Immune System algorithm optimization based on mathematical test function

    Transform of Artificial Immune System algorithm optimization based on mathematical test function by Yaw M.W., Chong K.H., Kamil K.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  20. 20
    Optimal DG Placement and Sizing for Voltage Stability Improvement Using Backtracking Search Algorithm

    Optimal DG Placement and Sizing for Voltage Stability Improvement Using Backtracking Search Algorithm by Ruhaizad, Ishak, Azah, Mohamed, Abdalla, Ahmed N., Mohd Zamri, Che Wanik

    Published 2014
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:

Search Tools: