Frontiers in Genetics Algorithm Theory and Applications
Frontiers in Genetics Algorithm Theory and Applications [electronic resource] /
edited by Mahdi Khosravy, Neeraj Gupta, Olaf Witkowski.
- 1st ed. 2024.
- XIV, 287 p. 90 illus., 48 illus. in color. online resource.
- Springer Tracts in Nature-Inspired Computing, 2524-5538 .
- Springer Tracts in Nature-Inspired Computing, .
Evolutionary Computation: Perspectives on Past and Future -- Genetic Algorithms: A Technical Implementation of Natural Evolution -- Mating In Genetic Algorithm With Application In System Identification -- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem -- Genetic Algorithm and Its Applications in Power Systems.
This book reviews recent advances in theory and applications of genetic algorithm (GA). The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.
9789819981076
Computational intelligence.
Algorithms.
Mathematical optimization.
Building information modeling.
Computational Intelligence.
Algorithms.
Optimization.
Building Information Modeling.
Q342
006.3
Evolutionary Computation: Perspectives on Past and Future -- Genetic Algorithms: A Technical Implementation of Natural Evolution -- Mating In Genetic Algorithm With Application In System Identification -- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem -- Genetic Algorithm and Its Applications in Power Systems.
This book reviews recent advances in theory and applications of genetic algorithm (GA). The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.
9789819981076
Computational intelligence.
Algorithms.
Mathematical optimization.
Building information modeling.
Computational Intelligence.
Algorithms.
Optimization.
Building Information Modeling.
Q342
006.3
