Handbook of Evolutionary Computation by Thomas Bäck
Publisher: Oxford University Press, USA; Lslf edition (April 17, 1997) | ISBN: 0750303921 | Pages: 988 | PDF | 10.62 MB
Many scientists and engineers now use the paradigms of evolutionary computation (genetic algorithms, evolution strategies, evolutionary programming, genetic programming, classifier systems, and combinations or hybrids thereof) to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. Recently there have been vigorous initiatives to promote cross-fertilization between the EC paradigms, and also to combine these paradigms with other approaches such as neural networks to create hybrid systems with enhanced capabilities.