"Genetic Algorithms: Theory, Design and Programming" ed. by Yann-Henri Chemin, Andries Engelbrecht

This volume presents a series of scientific contributions that delve into the intricate theoretical foundations and practical nuances of genetic algorithms (GAs). This book 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.

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.

Contents
1. Optimization Using Genetic Algorithms – Methodology with Examples from Seismic Waveform Inversion
2. Application of Genetic Algorithms in Health Sciences
3. Using Group Theory to Generate Initial Population for a Genetic Algorithm for Solving Traveling Salesman
4. Programming an Evolutionary Algorithm for the Estimation of Non-Linear Damping Vibration Parameters
5. The Genetic Algorithm and its Application in Calculating the Kinetic Parameters of the Thermoluminescence Curve


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