Chapter: Genetic Algorithms

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Theory and Practice of Uncertain Programming |

Physica-Verlag HD

Theory and Practice of Uncertain Programming

Genetic Algorithms

Chapter Info

Authors

ARI Id

1664905247114_4014262

Access

Not Available Free

Pages

17-27

DOI

10.1007/978-3-7908-1781-2_2

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-7908-1781-2_2

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xiv
Front Matter		1-1
Mathematical Programming	Baoding Liu	3-16
Genetic Algorithms	Baoding Liu	17-27
Neural Networks	Baoding Liu	29-36
Front Matter		37-37
Random Variables	Baoding Liu	39-58
Stochastic Expected Value Models	Baoding Liu	59-75
Stochastic Chance-Constrained Programming	Baoding Liu	77-113
Stochastic Dependent-Chance Programming	Baoding Liu	115-143
Front Matter		145-145
Fuzzy Variables	Baoding Liu	147-165
Fuzzy Expected Value Models	Baoding Liu	167-176
Fuzzy Chance-Constrained Programming	Baoding Liu	177-196
Fuzzy Dependent-Chance Programming	Baoding Liu	197-208
Fuzzy Programming with Fuzzy Decisions	Baoding Liu	209-222
Front Matter		223-223
Rough Variables	Baoding Liu	225-236
Rough Programming	Baoding Liu	237-248
Front Matter		249-249
Chapters/Headings	Author(s)	Pages	Info

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