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Search results for: swarm algorithms

  • Swarm Algorithms in Modern Engineering Optimization Problems

    Publication

    Complexity of today engineering problems is constantly increasing. Scientists no longer are facing issues, for which simple, mathematical programming methods are sufficient. Issues like autonomic vehicle navigation or classification are considered to be challenging, and although there exist valid means to solve them, in some cases there still is some place for improvement. With emergence of a new type of optimization techniques...

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  • Particle swarm optimization algorithms for autonomous robots with deterministic leaders using space filling movements

    Publication
    • D. Logofătu
    • G. Sobol
    • C. Andersson
    • D. Stamate
    • K. Balabanov
    • T. Cejrowski

    - Evolving Systems - Year 2020

    In this work the swarm behavior principles of Craig W. Reynolds are combined with deterministic traits. This is done by using leaders with motions based on space filling curves like Peano and Hilbert. Our goal is to evaluate how the swarm of agents works with this approach, supposing the entire swarm will better explore the entire space. Therefore, we examine different combinations of Peano and Hilbert with the already known swarm...

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  • Swarm-Assisted Investment Planning of a Bioethanol Plant

    Publication

    Bioethanol is a liquid fuel for which a significant increase in the share of energy sources has been observed in the economies of many countries. The most significant factor in popularizing bioethanol is the profitability of investments in construction of facilities producing this energy source, as well as the profitability of its supply chain. With the market filled with a large amount of equipment used in the bioethanol production...

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  • Marine and Cosmic Inspirations for AI Algorithms

    Publication

    Artificial Intelligence (AI) is a scientific area that currently sees an enormous growth. Various new algorithms and methods are developed and many of them meets practical, successful applications. Authors of new algorithms draw different inspirations. Probably the most common one is the nature. For example, Artificial Neural Networks were inspired by the structure of human brain and nervous system while the classic Genetic Algorithm...

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  • Computational intelligence methods in production management

    Publication

    - Year 2010

    This chapter presents a survey of selected computational intelligence methods used in production management. This group of methods includes, among others, approaches based on the artificial neural networks, the evolutionary algorithms, the fuzzy logic systems and the particle swarm optimization mechanisms. From the abovementioned methods particularly noteworthy are the evolutionary and the particle swarm algorithms, which are successfully...