Bruker:Vegardli
Fra Robin
(Forskjeller mellom versjoner)
(Added deception picture) |
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= State of the project (16.01.16) = | = State of the project (16.01.16) = | ||
* <tt><++++++++++></tt> Essay: Done | * <tt><++++++++++></tt> Essay: Done | ||
- | * <tt><++++++++--></tt> GA Application: Mostly done | + | * <tt><++++++++--></tt> GA Application: Mostly done (~900 lines) |
* <tt><++++++++++></tt> CPU Evaluator: Done | * <tt><++++++++++></tt> CPU Evaluator: Done | ||
- | * <tt><----------></tt> GPU Evaluator: Not started | + | * <tt><----------></tt> GPU Evaluator: Not started (~1100 lines) |
- | * <tt><+++++++++-></tt> HDL Evaluator: Mostly done | + | * <tt><+++++++++-></tt> HDL Evaluator: Mostly done (~2300 lines, many of which are not mine) |
* <tt><----------></tt> Thesis: Not started | * <tt><----------></tt> Thesis: Not started | ||
Linje 13: | Linje 13: | ||
== GA Application == | == GA Application == | ||
- | Mostly done. | + | Mostly done. |
+ | |||
+ | Successful demonstration of diversity algorithm under deception: | ||
+ | |||
+ | [[Fil:vegardli-divergence-success.png]] | ||
== CPU Evaluator == | == CPU Evaluator == |
Nåværende revisjon fra 3. mar 2016 kl. 14:49
Pathfinding using genetic algorithms and hardware acceleration for trajectory cost calculations.
Innhold |
State of the project (16.01.16)
- <++++++++++> Essay: Done
- <++++++++--> GA Application: Mostly done (~900 lines)
- <++++++++++> CPU Evaluator: Done
- <----------> GPU Evaluator: Not started (~1100 lines)
- <+++++++++-> HDL Evaluator: Mostly done (~2300 lines, many of which are not mine)
- <----------> Thesis: Not started
Essay
Handed in and awaiting feedback
GA Application
Mostly done.
Successful demonstration of diversity algorithm under deception:
CPU Evaluator
Done.
Also comes with visualization. Generation 0, 5 and 10 of a typical run:
GPU Evaluator
Not started
HDL Evaluator
Mostly done, need more timing info and integration with GA application
Thesis
Not started
Future work plan
January
- Implement diversity methods in application
- Establish communications between application and HDL model
February
- Run experiments to find performance and limits of model
- Start focusing on writing
March
April
May
- Hand-in