Journal mondial de technologie et d'optimisation

Enhancing Innovation and Efficiency with Genetic Algorithms in Technology Optimisation

Abstract

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.