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- 2012359691 abstract "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 and Artificial 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.--Publisher description.".
- 2012359691 alternative "New frontiers in evolutionary algorithms".
- 2012359691 contributor B12532437.
- 2012359691 contributor B12532438.
- 2012359691 created "c2012.".
- 2012359691 date "2012".
- 2012359691 date "c2012.".
- 2012359691 dateCopyrighted "c2012.".
- 2012359691 description "Includes bibliographical references (p. 285-296) and index.".
- 2012359691 description "Introduction -- 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 -- Appendix A : GA simulators -- Appendix B : PSO and BUGS simulators -- Appendix C : Mathematical model of NFL.".
- 2012359691 description "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 and Artificial 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.--Publisher description.".
- 2012359691 extent "xii, 304 p. :".
- 2012359691 identifier "1848166818".
- 2012359691 identifier "9781848166813".
- 2012359691 issued "2012".
- 2012359691 issued "c2012.".
- 2012359691 language "eng".
- 2012359691 publisher "London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific,".
- 2012359691 subject "005.73 23".
- 2012359691 subject "Algorithms.".
- 2012359691 subject "Evolutionary computation.".
- 2012359691 subject "Genetic algorithms.".
- 2012359691 subject "QA76.618 .I22 2012".
- 2012359691 tableOfContents "Introduction -- 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 -- Appendix A : GA simulators -- Appendix B : PSO and BUGS simulators -- Appendix C : Mathematical model of NFL.".
- 2012359691 title "New frontier in evolutionary algorithms : theory and applications / Hitoshi Iba, Nasimul Noman.".
- 2012359691 title "New frontiers in evolutionary algorithms".
- 2012359691 type "text".