Search Results - (( process innovative evolutionary algorithm ) OR ( java application stemming algorithm ))

Search alternatives:

  • Showing 1 - 9 results of 9
Refine Results
  1. 1
    Hybrid evolutionary optimization algorithms: A case study in manufacturing industry

    Hybrid evolutionary optimization algorithms: A case study in manufacturing industry by Vasant, P.

    Published 2014
    “…As the analyst faces this man made chaotic and due to natural disaster problems, the decision maker and the implementer have to work collaboratively with the analyst for taking up a decision on an innovative strategy for implementation. Such complex problems of vagueness and uncertainty can be handled by the hybrid evolutionary intelligence algorithms. …”
    Get full text
    Get full text
    Book
    Save to List
    Saved in:
  2. 2
    Software testing optimization for large systems using agent-based and NSGA-II algorithms

    Software testing optimization for large systems using agent-based and NSGA-II algorithms by Jamil, Muhammad Abid, Nour, Mohamed Kidher, Awang Abu Bakar, Normi Sham

    Published 2023
    “…The proposed work is innovative because it applies an evolutionary multi-agent system (EMAS) and NSGA-II from various traditional evolutionary methods. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Integrated immune chaotic evolutionary programming (IICEP) optimizer tool for integrating battery energy storage systems in transmission network for loss minimization

    Integrated immune chaotic evolutionary programming (IICEP) optimizer tool for integrating battery energy storage systems in transmission network for loss minimization by Ibrahim, Nur Farahiah, Musirin, Ismail, Mohamed Kamari, Nor Azwan, Mohamad, Nor Zulaily

    Published 2025
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  4. 4
    i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm

    i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm by Foo, Fong Yeng, Suhaimi, Azrina, Soo, Kum Yoke

    Published 2020
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works

    A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works by Gorment N.Z., Selamat A., Krejcar O.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  6. 6
    An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing

    An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing by Farhaana, Yakop, Zuwairie, Ibrahim, Amar Faiz, Zainal Abidin, Zulkifli, Md. Yusof, Mohd Saberi, Mohamad, Khairunizam, Wan, Watada, Junzo

    Published 2013
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.]

    An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.] by Hasnan, Mazliana, Othman, Zainab, Mohamad, Norizan, Abdullah, Zamlina

    Published 2012
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  8. 8
    The acceptance of eTPP reporting system by using TAM Model / Mohd Hafizan Musa [et al.]

    The acceptance of eTPP reporting system by using TAM Model / Mohd Hafizan Musa [et al.] by Musa, Mohd Hafizan, Othman, Ahmad Kamalrulzaman, Wan Zakaria, Wan Mohd Farid, Mohamad Khalid, Rusnani, Sokman, Yusnita

    Published 2018
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…Advancing multi-objective optimization techniques for cancer treatment strategies, the study strategically incorporates Swarm Intelligence (SI) and Evolutionary Algorithms (EA). Diverging in constraints handling and Pontryagin Maximum Principle (PMP) application, the PMM and HM methodologies are evaluated through the lens of SI and EA, and their outcomes are visualized via the Pareto Optimal Front (PF). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: