"Genetic Algorithms" ed. by Sebastian Ventura, José Luna, Jose M. Moyano
"Genetic Algorithms" ed. by Sebastian Ventura, José Luna, Jose M. Moyano
ITexLi | 2022 | ISBN: 180355178X 9781803551784 1803551771 9781803551777 1803551798 9781803551791 | 156 pages | PDF | 12 MB
ITexLi | 2022 | ISBN: 180355178X 9781803551784 1803551771 9781803551777 1803551798 9781803551791 | 156 pages | PDF | 12 MB
This book focuses on genetic algorithms and their applications in various fields, including engineering and architecture.
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.
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
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