LudvigOlsen evolutionaryComputing issues

LudvigOlsen / evolutionaryComputing

Repository for project in Evolutionary Computing at VU

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Implement self-adaptation

#16 LudvigOlsen closed 6 years ago
1
Add simulated binary crossover. Find formula online.

#15 LudvigOlsen closed 6 years ago
0
n-crossover recombination with rolling, to have less positional bias.

#14 LudvigOlsen opened 6 years ago
1
Add extra genotypes, that decides the recombinator and mutator. This way, the evolution will choose the best methods. (See self-adaptation)

#13 LudvigOlsen opened 6 years ago
0
When having multiple recombinators, make the breeder choose randomly between them.

#12 LudvigOlsen opened 6 years ago
0
All genotypes in genome 3 (seed 3) goes towards 0 in KatsuuraEvaluation

#11 LudvigOlsen closed 6 years ago
0
Monitor avg. fitness score during training.

#10 LudvigOlsen closed 6 years ago
0
Changing representation during the simulation. E.g. Start with integer representation and then when the fitness curve flattens, change to float representation for finetuning. (Would probably be float/double entire time, just always rounded)

#9 LudvigOlsen opened 6 years ago
0
Their evaluate function sometimes returns null. Figure out why and how often.

#8 LudvigOlsen closed 6 years ago
0
Max score doesn't change throughout the simulation

#7 LudvigOlsen closed 6 years ago
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Now that individuals have a unique ID, we can track their family in a tree, to make sure incest doesn't happen. This way, they can continue to be alive, just not have children with their own children.

#6 LudvigOlsen opened 6 years ago
0
Implement multiple "tribes". I.e. multiple populations that only mix every 1000 rounds, or similar. All tribes have different initialization, methods for recombination and mutation, and perhaps a exploitation vs exploration rate.

#5 LudvigOlsen closed 6 years ago
0
SphereFunction change from negative to positive total fitness. Leads to negative probabilities. Scale the fitness function somehow?

#4 LudvigOlsen closed 6 years ago
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Idea: Implement neural nets in individuals

#3 LudvigOlsen opened 6 years ago
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Write Population class

#2 LudvigOlsen closed 6 years ago
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Write Child class

#1 LudvigOlsen closed 6 years ago
0