biogeography-based optimization wikipedia - EAS

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  1. Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) that optimizes a function by stochastically and iteratively improving candidate solutions with regard to a given measure of quality, or fitness function.
    en.wikipedia.org/wiki/Biogeography-based_optimization
    en.wikipedia.org/wiki/Biogeography-based_optimization
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    What is biogeography-based optimization?"bbo: Biogeography-Based Optimization" is an R package for continuous BBO. BBO has been extended to noisy functions (that is, functions whose fitness evaluation is corrupted by noise); constrained functions; combinatorial functions; and multi-objective functions.
    en.wikipedia.org/wiki/Biogeography-based_optimization
    What is biogeography and zoogeography?Biogeography. Organisms and biological communities often vary in a regular fashion along geographic gradients of latitude, elevation, isolation and habitat area. Phytogeography is the branch of biogeography that studies the distribution of plants. Zoogeography is the branch that studies distribution of animals.
    en.wikipedia.org/wiki/Biogeography
    Who developed the concept of biogeography?In the 19th century, several additional scientists contributed new theories to further develop the concept of biogeography. Charles Lyell, being one of the first contributors in the 19th century, developed the Theory of Uniformitarianism after studying fossils.
    en.wikipedia.org/wiki/Biogeography
    What is biobot optimization (BBO)?We see that BBO has features in common with other biology-based optimization methods, such as GAs and particle swarm optimization (PSO). This makes BBO applicable to many of the same types of problems that GAs and PSO are used for, namely, high-dimension problems with multiple local optima.
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    https://en.wikipedia.org/wiki/Biogeography-based_optimization

    Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) that optimizes a function by stochastically and iteratively improving candidate solutions with regard to a given measure of quality, or fitness function. BBO belongs to the class of metaheuristics since it includes many … 查看更多內容

    Mathematical models of biogeography describe speciation (the evolution of new species), the migration of species (animals, fish, birds, or insects) between islands, and the extinction of species. Islands that are friendly to … 查看更多內容

    Many variations have been proposed to the basic BBO algorithm, among which are the following.
    • Elitism is implemented in most EAs to make sure that … 查看更多內容

    MATLAB
    • The following MATLAB code gives a BBO implementation for minimizing the 20-dimensional Rosenbrock function. Note that the following code is very basic, although it does include elitism. A serious BBO … 查看更多內容

    BBO has been mathematically analyzed using Markov models and dynamic system models. 查看更多內容

    • The population size is a tuning parameter. If is too small or too large, then the optimization performance of BBO will suffer. Typical implementations of BBO use a value of somewhere between 20 and 200.
    • The initial population of candidate solutions is … 查看更多內容

    BBO has been extended to noisy functions (that is, functions whose fitness evaluation is corrupted by noise); constrained functions; … 查看更多內容

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  4. Biogeography-based optimization - HandWiki

    https://handwiki.org/wiki/Biogeography-based_optimization

    Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) that optimizes a function by stochastically and iteratively improving candidate solutions with regard to a given …

  5. Talk:Biogeography-based optimization - Wikipedia

    https://en.wikipedia.org/wiki/Talk:Biogeography-based_optimization

    Start a discussion about improving the Biogeography-based optimization page Talk pages are where people discuss how to make content on Wikipedia the best that it can be. You can use …

  6. Biogeography-based optimization - Air.Wiki

    https://air.wiki/Biogeography-based_optimization

    Biogeography-based optimization is an Evolutionary algorithm that Optimization a Function by Stochastic and Iterative method improving Candidate solution with regard to a given measure …

  7. https://en.wikipedia.org/wiki/Biogeography

    Biogeography is the study of the distribution of species and ecosystems in geographic space and through geological time. Organisms and biological communities often vary in a regular fashion along geographic gradients of latitude, elevation, isolation and habitat area. Phytogeography is the branch of biogeography that studies the distribution of plants. Zoogeography is the branc…

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    • Biogeography-based optimization | Wikipedia audio article

      https://www.youtube.com/watch?v=CSQ6v164rCM

      2019/3/28 · BBO is typically used to optimize multidimensional real-valued functions, but it does not use the gradient of the function, which means that it does not require the function to be …

    • https://ieeexplore.ieee.org/document/4475427

      2008/3/21 · Abstract: Biogeography is the study of the geographical distribution of biological organisms. Mathematical equations that govern the distribution of organisms were first …

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      https://www.slideshare.net/pooriakhani/biogeographybased-optimization-55971222

      https://en.wikipedia.org/wiki/Biogeography-based_optimization

    • himanshuRepo/Biogeography-Based-Optimization: …

      https://github.com/himanshuRepo/Biogeography-Based-Optimization

      2018/6/14 · Biogeography-Based Optimization. Python code of Biogeography-Based Optimization (BBO) Coded by: Raju Pal (emailid: [email protected]) and Himanshu Mittal (emailid: [email protected]) Reference: D. …

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    • 생체지리학 기반 최적화 - 요다위키

      https://yoda.wiki/wiki/Biogeography-based_optimization

      BBO(Biogeography-Based Optimization, BBO)는 일정한 품질 측정, 즉 피트니스 기능과 관련하여 후보 솔루션을 확률적이고 반복적으로 개선하여 기능을 최적화하는 진화 알고리즘(EA)이다.



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