Evolutionary Computation 2: Advanced Algorithms and Operators, Vol. 2 Book

	Preface
	List of contributors
	Glossary
1	Introduction to evolutionary computation	1
2	Possible applications of evolutionary computation	4
3	Advantages (and disadvantages) of evolutionary computation over other approaches	20
4	Principles of evolutionary processes	23
5	Principles of genetics	27
6	A history of evolutionary computation	40
7	Introduction to evolutionary algorithms	59
8	Genetic algorithms	64
9	Evolution strategies	81
10	Evolutionary programming	89
11	Derivative methods in genetic programming	103
12	Learning classifier systems	114
13	Hybrid methods	124
14	Introduction to representations	127
15	Binary strings	132
16	Real-valued vectors	136
17	Permutations	139
18	Finite-state representations	151
19	Parse trees	155
20	Guidelines for a suitable encoding	160
21	Other representations	163
22	Introduction to selection	166
23	Proportional selection and sampling algorithms	172
24	Tournament selection	181
25	Rank-based selection	187
26	Boltzmann selection	195
27	Other selection methods	201
28	Generation gap methods	205
29	A comparison of selection mechanisms	212
30	Interactive evolution	228
31	Introduction to search operators	235
32	Mutation operators	237
33	Recombination	256
34	Other operators	308
	Index	331