This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications. It provides a methodology for a GA-based search strategy with the integration of several Artificial Life andArtificial Intelligence techniques, such as memetic concepts, swarm intelligence, and foraging strategies. The development of such tools contributes to better optimizing methodologies when addressing tasks from areas such as robotics, financial forecasting, and data mining in bioinformatics. The emphasis of this book is on applicability to the real world. Tasks from application areas – optimization of the trading rule in foreign exchange (FX) and stock prices, economic load dispatch in power system, exit/door placement for evacuation planning, and gene regulatory network inference in bioinformatics – are studied, and the resultant empirical investigations demonstrate how successful the proposed approaches are when solving real-world tasks of great importance. INDICE: A Practical Guide to Genetic Algorithms Using Excel Simulators; Real-valued GA and its Variants; Theoretical Background of GA Search Performance; The Memetic Computing Approach; Real-world Applications of Evolutionary Algorithms.
- ISBN: 978-1-84816-681-3
- Editorial: Imperial College
- Encuadernacion: Cartoné
- Páginas: 316
- Fecha Publicación: 01/10/2011
- Nº Volúmenes: 1
- Idioma: Inglés