Search Results - (( _ constructing decision algorithm ) OR ( using optimization method algorithm ))

Refine Results
  1. 1

    Optimization of Reservoir Operation using New Hybrid Algorithm by Yaseen, Zaher Mundher, Karami, Hojat, Ehteram, Mohammad, Mohd, Nuruol Syuhadaa, Mousavi, Sayed Farhad, Lai, Sai Hin, Kisi, Ozgur, Farzin, Saeed, Kim, Sungwon, El-Shafie, Ahmed

    Published 2018
    “…In this research, a new hybrid approach of Artificial Fish Swarm Algorithm (AFSA) and Particle Swarm Optimization Algorithm (PSOA) is used to optimize Karun-4 reservoir, increase energy production and minimize downstream water shortages. …”
    Get full text
    Get full text
    Article
  2. 2

    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems by Nazif, Habibeh

    Published 2010
    “…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Clustering of rainfall data using k-means algorithm by Mohd Sham, Mohamad, Yuhani, Yusof, Ku Muhammad Na’im, Ku Khalif, Mohd Khairul Bazli, Mohd Aziz

    Published 2019
    “…Clustering algorithms in data mining is the method for extracting useful information for a given data. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  4. 4

    Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem by Wong, Jerng Foong

    Published 2022
    “…The parameters setting to run the hybrid TS-SBA was determined by using a combination of Factorial Design of Experiments and Decision Tree Data Mining methods. …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5

    Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi by Hanapi, Suhadiyana

    Published 2018
    “…This thesis makes a number of key contributions to the advancement of fuel cell vehicle design within two main research areas; powertrain system design based on quality energy, and optimization system based on biology based algorithms. …”
    Get full text
    Get full text
    Book Section
  6. 6

    An adjustable approach to multi-criteria group decision-making based on a preference relationship under fuzzy soft information by Khameneh, Azadeh Zahedi, Kilicman, Adem, Salleh, Abdul Razak

    Published 2017
    “…In this regard, fuzzy soft model can be considered as an efficient tool in decision-making. To date, different algorithms have been proposed for solving collective decision-making problems based on fuzzy soft set theory. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Application of Newton-Gauss-Seidel method for solving multi-objective constrained optimization problems by Peng Cheng, Jumat Sulaiman, Khadizah Ghazali

    Published 2024
    “…Then the Lagrange multiplier method was used to transform the constrained optimization problem into an unconstrained optimization problem. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    Solving an application of university course timetabling problem by using genetic algorithm by Norhana, Shaibatul Khadri

    Published 2022
    “…Many efforts have been made using various computational heuristic methods to acquire the best solutions. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9

    An Integrated Model to Enhance the Transportation Methods in Malaysia: Review Paper by Ali, A. J. Adham, Khaled Abdul Rahman, Jomaa, Alsibai, Mohammed Hayyan

    Published 2014
    “…In this study, we plan to construct a Simulation Model (SM) in corporate with the Road Network Design Method (RNDM), Genetic Algorithm system (GAs), and Optimization method. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

    Published 2024
    “…Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Ant colony optimization for container loading problem. by Yap, Ching Nei, Lee, Lai Soon, Abdul Majid, Zanariah, Seow, Hsin Vonn

    Published 2012
    “…In the first phase, ACO with its probabilistic decision rule was used to construct a sequence of boxes. …”
    Get full text
    Get full text
    Article
  12. 12
  13. 13

    Multiobjective optimization of solar-powered irrigation system with fuzzy type-2 noise modelling by Ganesan, T., Vasant, P., Elamvazuthi, I.

    Published 2016
    “…This method was then used to construct the approximate Pareto frontier as well as to identify the best solution option in a fuzzy setting. …”
    Get full text
    Get full text
    Book
  14. 14

    An ensemble method with cost function on churn prediction by Mohd Khalid, Awang, Mohammad Afendee, Mohamed, Mokhairi, Makhtar

    Published 2019
    “…The combination of ensemble classifier is calculated based on the simple majority voting algorithm. The performance measure used in determining the optimal subset of classifiers is the combination of Accuracy (ACC), True Negative Rate (TNR) and True Positive Rate (TPR). …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  15. 15

    Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks by Saleh, Ahmed Mohammed Shamsan

    Published 2012
    “…Finally, we propose Self-Decision Route Selection scheme which is an improvement of the Hop-based Spanning Tree (HST) algorithm that is used in some routing protocols such as AODV and DSR. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
    Get full text
    Get full text
    Article
  17. 17

    Sentiment analysis on COVID-19 outbreak using PSO-SVM / Amir Danial Shahrul Sazali by Shahrul Sazali, Amir Danial

    Published 2024
    “…The project is set to be improved by using a well-constructed SVM algorithm that can handle large data very well, using a more powerful hardware and unlimiting the language use to train the PSO-SVM.…”
    Get full text
    Get full text
    Thesis
  18. 18

    Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis by Abujayyab, Sohaib K. M.

    Published 2017
    “…Hybrid neural network was utilized as an evaluation method to select the optimal selection method and optimal training algorithm. …”
    Get full text
    Get full text
    Thesis
  19. 19

    Artificial intelligence (AI) and its application in architecture design: a thematic review by Jin, Deran, Zairul, Mohd, Salih, Sarah Abdulkareem

    Published 2025
    “…The analysis identified six primary themes: 1) Architecture and Science, which includes research on complex systems, genetic algorithms, and machine learning;2) Architecture and Construction Management, including the development of frameworks that support decision making; architecture and interior design, which includes work on space-planning optimization and furniture and occupant arrangement;3) Architecture Interior Design; 4) Architecture and Urban; which encompasses attempts to develop tools to help design new cities; architectural engineering, where building performance analysis was the most-common AI application; 5) Architectural Engineering; and 6) Design Education and Training, in which AI appears most promising for advancing problem-based learning. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20