Ventura S. Genetic Algorithms 2022

Textbook in PDF format

The solution to many real-world problems lies in optimizing processes, parameters, or techniques, which requires dealing with immense search spaces. As such, finding solutions involves exhaustive methods to evaluate all possible solutions in the search for a global optimum. Some of these methods include evolutionary algorithms and genetic algorithms, both of which have proven to effectively deal with complex search spaces. This book focuses on genetic algorithms and their applications in various fields, including engineering and architecture.
Introduction to Evolutionary Algorithms
Application of Genetic Algorithm in Numerous Scientific Fields
Power System Small-Signal Stability Enhancement Using Damping Controllers Designed Based on Evolutionary Algorithms
ADDC: Automatic Design of Digital Circuit
Genetic Algorithms for Chemical Engineering Optimization Problems
Using Genetic Algorithm to Optimize Controllers of Thermal Load System in Thermal Power Plant
Towards a Precise and Mathematical Fractalesque Architecture