Search Results - candidate ((((determination algorithm) OR (generation algorithm))) OR (optimisation algorithm))

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  1. 1

    A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

    Published 2022
    “…The results demonstrated that the proposed method could generate an optimal collision-free path. Moreover, the proposed algorithm result are compared to some common algorithms such as the A* algorithm, Probabilistic Road Map, RRT, Bi-directional RRT, and Laser Simulator algorithm to demonstrate its effectiveness. …”
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    Thesis
  2. 2

    A competitive co-evolutionary approach for the nurse scheduling problem by Mohamad Nazri, Maizatul Farhana, Mohd Yusoh, Zeratul Izzah, Basiron, Halizah, Daud, Azlina

    Published 2026
    “…The competitive approach further exhibits smoother convergence behaviour across generations, indicating stronger optimisation dynamics and improved robustness. …”
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    Article
  3. 3

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

    Published 2020
    “…The algorithm includes (i) a population update strategy which improves the movement of hawks in the search space, (ii) a parameter adjusting strategy to control the transition between exploration and exploitation, and (iii) a population generating method in producing the initial candidate solutions. …”
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  5. 5

    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…The computational complexity of most vehicle routing problem and moreover the intricate of stochastic VRP algorithm has made them an important candidate for solution using metaheuristics. …”
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    Monograph
  6. 6

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…On the other hand, existing stream data learning models with limited labelling have many limitations. Most importantly, algorithms that suffer from a limited capability to adapt to the evolving nature of data generated from network traffic are called concept drift. …”
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  7. 7

    Efficient and secured compression and steganography technique in wireless sensor network by Tuama, Ammar Yaseen

    Published 2016
    “…Furthermore, some analyses on hiding quality show that our algorithm retains the cover image quality as high as that of standard LSB algorithm. …”
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    Thesis
  8. 8

    Adaptive beamforming of steerable array monopole antenna for WLAN application by Amer Asem, Abdullah

    Published 2018
    “…The proposed approach can be considered a fast and significant candidate for new generation of smart communication WLAN applications.…”
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  9. 9
  10. 10

    Differential evolution for urban transit routing problem by Buba, Ahmed Tarajo, Lai, Soon Lee

    Published 2016
    “…This is an NP-hard problem, where the generation of candidate route sets can lead to a number of potential routes being discarded on the grounds of infeasibility. …”
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    Article
  11. 11

    An improved Levenshtein algorithm for spelling correction word candidate list generation by Abdulkhudhur, Hanan Najm

    Published 2016
    “…The most widely used algorithm for generating candidates’ list for incorrect words is based on Levenshtein distance. …”
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  13. 13

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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    Thesis
  14. 14

    Integration Of Travel Time Zone For Optimal Siting Of Emergency Facilities by Indriasari, Vini

    Published 2008
    “…The MSAP is a discrete model where a specified number of facilities that achieve the best objective function value of the model are selected out of a finite set of candidate sites. A method involving multi criteria analysis was introduced to determine candidate sites in a per zone basis. …”
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  15. 15

    Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim by Ibrahim, Nurul Ulya

    Published 2016
    “…This method is tested for 15 existing power plant and five generation candidates within 10 years of planning. The simulation results obtained using the proposed algorithm show that the minimum cost can be obtained for types of candidate.…”
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  16. 16

    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN by SARI, YUNITA SARI

    Published 2011
    “…The algorithm reduces the training efforts and generates almost similar result as compared to the conventional supervised learning technique. …”
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  17. 17

    Analysis of Sentiment Based on Opinions from the 2019 Presidential Election by Nurul Adha Oktarini, Saputri, Misinem, ., Khoirul, Zuhri

    Published 2024
    “…The Naive Bayes Classifier algorithm was employed to classify the tweet data. …”
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    Article
  18. 18

    Hybrid genetic algorithm for uncapacitated university examination timetabling problem by Ishak, Suhada

    Published 2015
    “…The main components of the genetic operators in a Genetic Algorithm (GA) will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). …”
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  19. 19

    Using unique-prime-factorization theorem to mine frequent patterns without generating tree by Tohidi, Hossein, Ibrahim, Hamidah

    Published 2011
    “…For huge database it may need to generate a huge number of candidate sets. An interest solution is to design an approach that without generating candidate is able to mine frequent patterns. …”
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    Article
  20. 20

    Hybrid genetic algorithm for university examination timetabling problem by Ishak, Suhada, Lee, Lai Soon, Ibragimov, Gafurjan

    Published 2016
    “…The main components of the genetic operators in a GA will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). The PGA will then hybridised with three new local optimisation techniques, which will make up the HGA; to improve the solutions found. …”
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    Article