Search Results - (( solution negative selection algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Effect of negative campaign strategy of election algorithm in solving optimization problem by Hamza Abubakar, Saratha Sathasivam, Shehab Abdulhabib Alzaeemi

    Published 2020
    “…New negative campaign operator has been proposed based on selecting the best voter to be replaced. …”
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    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan by Redzuan, Nur Amalina

    Published 2013
    “…Sentiment Analysis for Malay Newspaper (SAMNews) is constructed using the negative selection algorithm which is able to classify the sentiment in newspaper’s sentences into the polarity (positive, negative or neutral) automatically repose on detectors word. …”
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    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

    Published 2011
    “…Typically, all of stochastic classification algorithms employ accuracy metric to discriminate an optimal solution. …”
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  9. 9

    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier by M., Hossin, M.N., Sulaiman, N., Mustpaha, R.W., Rahmat

    Published 2011
    “…All stochastic classifiers attempt to improve their classification performance by constructing an optimized classifier.Typically, all of stochastic classification algorithms employ accuracy metric to discriminate an optimal solution.However, the use of accuracy metric could lead the solution towards the sub-optimal solution due less discriminating power.Moreover, the accuracy metric also unable to perform optimally when dealing with imbalanced class distribution. …”
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    OAERP : A Better Measure than Accuracy in Discriminating a Better Solution for Stochastic Classification Training by Hossin, M., Sulaiman, M.N, Mustapha, A., Rahmat , R.W

    Published 2011
    “…The use of accuracy metric for stochastic classification training could lead the solution selecting towards the sub-optimal solution due to its less distinctive value and also unable to perform optimally when confronted with imbalanced class problem. …”
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  12. 12

    OAERP: a better measure than accuracy in discriminating a better solution for stochastic classification training by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Aida, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

    Published 2011
    “…The use of accuracy metric for stochastic classification training could lead the solution selecting towards the sub-optimal solution due to its less distinctive value and also unable to perform optimally when confronted with imbalanced class problem. …”
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  13. 13

    A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites by Din, Fakhrud

    Published 2019
    “…Many test data generation strategies based on meta-heuristic algorithms such as Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search (HS), Cuckoo Search (CS), Bat Algorithm (BA) and Bees Algorithm have been developed in recent years. …”
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    Omega grey wolf optimizer (ωGWO) for optimization of overcurrent relays coordination with distributed generation by Noor Zaihan, Jamal

    Published 2019
    “…The simulation results from this study has established that GWO is able to produce promising solutions by generating the lowest operating time among other reviewed algorithms. …”
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  16. 16

    MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION by Muda, N. A.

    Published 2010
    “…MIC is the newest version of Negative Selection Algorithm (NSA) where it stresses the self and non-self cells recognition and a complementary process for generating detectors. …”
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  17. 17

    Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones by Khudhayer, Wael A.

    Published 2020
    “…The development of the prediction tool was conducted base on integrating three sequenced algorithms, which are sun position algorithm, shadow length and position algorithm, and expansion limit algorithm. …”
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  18. 18

    Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment by Mohd Ali, Fazlina

    Published 2022
    “…In order to validate the competence of these proposed algorithms, results were compared with another similar research work known as DPRS algorithm. …”
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  19. 19

    Mitigating malicious nodes using trust and reputation based model in wireless sensor networks by Abdullah, Muhammad Daniel Hafiz

    Published 2018
    “…In order to achieve this, different sets of trust information including QoS, OSNs and ant colony system (ACS) algorithm are proposed to improve the selection of trustworthy node. …”
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