Search Results - evaluation focus difference ((evolution algorithm) OR (evolutionary algorithm))

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  1. 1
    A comprehensive comparison of evolutionary optimization limited by number of evaluations against time constraints

    A comprehensive comparison of evolutionary optimization limited by number of evaluations against time constraints by Jia, Hui Ong, Teo, Jason Tze Wi

    Published 2016
    “…Practically allevolutionary optimization studies have focused exclusively on the use of number of fitness evaluations as the constraining factor when comparing different evolutionary algorithms (EAs). …”
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  2. 2
    Empirical Evaluation of Mutation Step Size in Automated Evolution of Non-Target-Based 3D Printable Objects

    Empirical Evaluation of Mutation Step Size in Automated Evolution of Non-Target-Based 3D Printable Objects by Jia Hui Ong, Jason Teo

    Published 2015
    “…Evolutionary algorithms (EA) currently play a central role in solving complex, highly non-linear problems such as in engineering design, computational optimization, bioinformatics and many more diverse fields. …”
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  3. 3
    Parametric tuning of the Gielis Superformula for non-target based automated evolution of 3D Printable objects

    Parametric tuning of the Gielis Superformula for non-target based automated evolution of 3D Printable objects by Jia, Hui Ong, Jason Teo

    Published 2015
    “…Thus, Evolutionary Programming was used as the EA in this study which serves as the main evolution component that uses a fitness function tailored in a way that it is able to evaluate the 3D objects and shapes generated by the Superformula. …”
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  4. 4
    Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat

    Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat by Mamat, Fatimah

    Published 2012
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  5. 5
    Hybrid Sine Cosine and Fitness Dependent Optimizer for global optimization

    Hybrid Sine Cosine and Fitness Dependent Optimizer for global optimization by Chiu, Po Chan, Ali, Selamat, Ondrej, Krejcar, Kuok, King Kuok

    Published 2021
    “…The fitness-dependent optimizer (FDO), a newly proposed swarm intelligent algorithm, is focused on the reproductive mechanism of bee swarming and collective decision-making. …”
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  6. 6
    Evolutionary approach for combinatorial testing of software product lines

    Evolutionary approach for combinatorial testing of software product lines by Sahid, Mohd Zanes

    Published 2020
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  7. 7
    Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks

    Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks by Kousha, Mohammad

    Published 2014
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  8. 8
    Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network

    Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network by Sama, Najm Us

    Published 2019
    “…Further evolution of the ELEC routing protocol is presented to evaluate the impact of incremental cluster iv heads on the performance of WSN. …”
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  9. 9
    Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah

    Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah by Adewole Kayode, Sakariyah

    Published 2018
    “…The performance of ten (10) machine learning algorithms were evaluated to select the best classifier for both SADM and SMDM. …”
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