Editorial Reviews
Review
…offers a presentation of the main ideas, models, and algorithms of evolutionary computation. Anyone who is inspired by the work of L. Davis or D.E. Goldberg to use evolutionary computation as a tool in hos/her daily work will find a complete overview of techniques and strategies…Anyone interested in optimization or search problems can find useful ideas, methods, and algorithms.
- Journal of Chemometrics, 2002
Book Description
Rapid advances in evolutionary computing have opened up a world of applications-a 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 provides the basic principles of the subject: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, and optimization applications. 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.
Evolutionary Computation,D. Dumitrescu,Beatrice Lazzerini,Lakhmi C. Jain,A. Dumitrescu,CRC,0849305888,Applied,Artificial Intelligence,Artificial Intelligence - General,Computer Engineering,Computers,Computers - General Information,Evolutionary programming (Comp,Evolutionary programming (Computer science),Science/Mathematics,Algorithms & procedures,Computers / Programming / Systems Analysis & Design,Machine learning
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