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Genetic Algorithms - Theory, Design and Programming

Yann-Henri Chemin

2023Artificial intelligence63 citationsDOIOpen Access PDF

Abstract

In this edition of <i>Genetic Algorithms - Theory, Design and Programming</i>, we present a series of scientific contributions that delve into the intricate theoretical foundations and practical nuances of genetic algorithms (GAs). Beyond the academic realm, GAs have demonstrated profound applications in societal decision-making and engineering optimization, showcased through real-world examples and case studies. A dedicated section on programming principles offers a thorough guide for implementing GAs across diverse languages. This edition, tailored for researchers and academics, serves as a testament to the scientific advancements within the field, inviting readers to explore the nuanced journey from theoretical constructs to pragmatic applications in the dynamic landscape of GAs.

Topics & Concepts

RealmComputer scienceGenetic programmingField (mathematics)Management scienceArtificial intelligenceData scienceEngineeringMathematicsPolitical sciencePure mathematicsLawReservoir Engineering and Simulation MethodsDrilling and Well EngineeringSeismic Imaging and Inversion Techniques
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