Initial graphs looking at different ways of mutating the network, and variations on the fitness function. With the topology of the networks preserved. At a fixed generation, see if obeys poisson statistics. And mutating the topology.
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Initial graphs looking at different ways of mutating the network, and variations on the fitness function. With the topology of the networks preserved. At a fixed generation, see if obeys poisson statistics. And mutating the topology.
matthewz.com
Untitled Document
http://www.matthewz.com/xsections.htm
For 50 evolutionary runs.
Untitled Document
http://www.matthewz.com/target_flipping_mut_top.htm
Target flipping and mutating topology. Two random targets, length 10 - flip between them. With period (in generations):. Many random targets, length 10 - create new one each flip. With period (in generations):. These had a corrupted file. Many random targets, random length between 5 and 10 - create new one each flip. With period (in generations):.
Untitled Document
http://www.matthewz.com/different_methods.htm
Scalefree version 1 - allow cyclelength 1. Random version 1 - allow cyclength 1. Scalefree version 1 - no cyclelength 1. Random version 1 - no cyclength 1. Scalefree version 2 - allow cyclelength 1. Random version 2 - allow cyclength 1. Scalefree version 1 vs random version 1- allow cyclelength 1. Scalefree version 1 vs random version 1- no cyclelength 1. Scalefree version 2 vs Scalefree version 1. Scalefree version 2 vs random version 2 - allow cyclelength 1. Scalefree vs Degree1 networks.
Untitled Document
http://www.matthewz.com/target_flipping.htm
Two random targets, length 10 - flip between them. With period (in generations):. One random target, length 10 - flip to its inverse. With period (in generations):. Many random targets, length 10 - flip to a new one each time. With period (in generations):. Two random targets, length 10 and 9 - flip between them. With period (in generations):. Many random targets, random length between 5 and 10 - flip to a new one each time. With period (in generations):.
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Initial graphs looking at different ways of mutating the network, and variations on the fitness function. With the topology of the networks preserved. At a fixed generation, see if obeys poisson statistics. And mutating the topology.
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