Search Results - Orthogonal array-based initialization

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  1. 1

    Differential evolution with orthogonal arraybased initialization and a novel selection strategy by Kumar, Abhishek, Biswas, Partha P., Suganthan, Ponnuthurai N.

    ISSN: 2210-6502
    Published: Elsevier B.V 01.02.2022
    Published in Swarm and evolutionary computation (01.02.2022)
    “… The initialization and selection operators are less explored in the literature. In this work, we implement the orthogonal array-based initialization of the population and propose…”
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    Journal Article
  2. 2
  3. 3

    Design of Fragment-Type Antenna Structure Using an Improved BPSO by Dong, Jian, Li, Qianqian, Deng, Lianwen

    ISSN: 0018-926X, 1558-2221
    Published: New York IEEE 01.02.2018
    “…). First, orthogonal array-based initialization instead of randomized initialization is employed to uniformly sample the design space for better population diversity…”
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    Journal Article
  4. 4

    Large Initial Population and Neighborhood Search incorporated in LSHADE to solve CEC2020 Benchmark Problems by Biswas, Partha P., Suganthan, Ponnuthurai N.

    Published: IEEE 01.07.2020
    “…) competitions pose tremendous challenges to the researchers in finding the global optimum. This paper introduces the orthogonal array-based initialization of population and neighborhood search strategy in LSHADE…”
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    Conference Proceeding
  5. 5

    Error assessment of laser cutting predictions by semi-supervised learning by Zaidi, Mustafa, Amin, Imran, Hussain, Ahmad, Yusoff, Nukman

    ISSN: 2095-2899, 2227-5223
    Published: Heidelberg Central South University 01.10.2014
    Published in Journal of Central South University (01.10.2014)
    “… Factorial design of experiment was selected for the verification of orthogonal array based model prediction…”
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    Journal Article
  6. 6

    Comparison of different PSO initialization techniques for high dimensional search space problems: A test with FSS and antenna arrays by Gutierrez, A L, Lanza, M, Barriuso, I, Valle, L, Domingo, M, Perez, J R, Basterrechea, J

    ISBN: 9781457702501, 1457702509
    ISSN: 2164-3342
    Published: IEEE 01.04.2011
    “…Population-based optimization algorithms are widely used in multiple research areas to optimize different kinds of problems. Commonly, they have been…”
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    Conference Proceeding