Genetic algorithms / / edited by Sebastián Ventura Soto, José Luna, Jose M. Moyano.

• TeilnehmendeR: Ventura Soto, Sebastián,; Luna, José,
• Place / Publishing House: London : : IntechOpen,, [2022]; ©2022
• Year of Publication: 2022
• Language: English
• Physical Description: 1 online resource (174 pages)

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.

Table of Contents

1. Introduction to Evolutionary Algorithms. 2. Application of Genetic Algorithm in Numerous Scientific Fields. 3. Power System Small-Signal Stability Enhancement Using Damping Controllers Designed Based on Evolutionary Algorithms. 4. ADDC: Automatic Design of Digital Circuit. 5. Genetic Algorithms for Chemical Engineering Optimization Problems. 6. Using Genetic Algorithm to Optimize Controllers of Thermal Load System in Thermal Power Plant. 7. Towards a Precise and Mathematical Fractalesque Architecture.