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Global Journal of Technology and Optimization

ISSN: 2229-8711

Open Access

Valeria Tomforde

Department of Computational Sciences, University of Faisalabad, Faisalabad, Pakistan

Publications
  • Mini Review   
    Enhancing Innovation and Efficiency with Genetic Algorithms in Technology Optimisation
    Author(s): Valeria Tomforde*

    Genetic algorithms have emerged as powerful tools for optimizing various aspects of technology development and design. This article explores the concept of genetic algorithms, their application in technology optimization and the potential benefits they offer. By mimicking the process of natural evolution, genetic algorithms leverage the power of computational optimization to efficiently solve complex problems and achieve optimal solutions. This article highlights key applications of genetic algorithms in technology optimization, including software engineering, robotics and circuit design. Furthermore, it discusses the advantages, challenges and future prospects of integrating genetic algorithms into the technology development landscape... Read More»
    DOI: 10.37421/2229-8711.2023.14.320

    Abstract HTML PDF

Google Scholar citation report
Citations: 847

Global Journal of Technology and Optimization received 847 citations as per Google Scholar report

Global Journal of Technology and Optimization peer review process verified at publons

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