Chapter: Genetic Algorithms

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Home > Adaptive Search and the Management of Logistic Systems: Base Models for Learning Agents > Genetic Algorithms

Adaptive Search and the Management of Logistic Systems: Base Models for Learning Agents |

Christian Bierwirth

Springer US

Adaptive Search and the Management of Logistic Systems: Base Models for Learning Agents

Genetic Algorithms

Chapter Info

Authors

Christian Bierwirth

ARI Id

1664972350574_4291398

Access

Not Available Free

Pages

47-59

DOI

10.1007/978-1-4419-8742-6_3

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4419-8742-6_3

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xiii
Front Matter		1-1
From Artificial to Computational Intelligence	Christian Bierwirth	3-20
Principles of Systems	Christian Bierwirth	21-45
Genetic Algorithms	Christian Bierwirth	47-59
Adaptation to Static Environments	Christian Bierwirth	61-84
Adaptive Agents	Christian Bierwirth	85-105
Front Matter		107-107
Problem Representation in Logistics Systems	Christian Bierwirth	109-130
Adaptive Scheduling	Christian Bierwirth	131-153
Towards Real World Scheduling Systems	Christian Bierwirth	155-177
Adaptive Agents at Work	Christian Bierwirth	179-199
Epilogue	Christian Bierwirth	201-201
Back Matter		203-219
Chapters/Headings	Author(s)	Pages	Info

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