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Rapid advances in evolutionary computation have opened up a world of applicationsa world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation.Evolutionary Computation presents the basic principles of evolutionary computing: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, including selection, crossover, and mutation, and discusses the (m+l) and (m,l) evolution strategy principles. The focus then shifts to applications: decision strategy selection, training and design of neural networks, several approaches to pattern recognition, cellular automata, applications of genetic programming, and more.
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As a graduate student in AI, this series has been incredibly useful. The international perspective adds a valuable twist to the theories and applications discussed. I found it easy to follow and quite engaging!
T
Tariq Khan
Excellent Resource for Researchers
As a graduate student in AI, this series has been incredibly useful. The international perspective adds a valuable twist to the theories and applications discussed. I found it easy to follow and quite engaging!
T
Tariq Khan
Excellent Resource for Researchers
As a graduate student in AI, this series has been incredibly useful. The international perspective adds a valuable twist to the theories and applications discussed. I found it easy to follow and quite engaging!
A
Anika Patel
Great Insights into Evolutionary Computation
The content in this series on computational intelligence is truly enlightening. I've found the chapters to be structured well, and the examples are relevant to my research. Definitely recommend it for anyone diving into evolutionary computation!
A
Anika Patel
Great Insights into Evolutionary Computation
The content in this series on computational intelligence is truly enlightening. I've found the chapters to be structured well, and the examples are relevant to my research. Definitely recommend it for anyone diving into evolutionary computation!
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