Evolutionary Computing 2022

Björn van der Haas - 2739402
Marije Faas - 2725859
Mario Holubar - 2718946
Hong Huo - 2726433
Erin Zeeman - 2669446

Evoman is a video game playing framework to be used as a testbed for optimization algorithms.

Name		Name	Last commit message	Last commit date
Latest commit History 164 Commits
.idea		.idea
NEAT-All-Runs		NEAT-All-Runs
data/standard_e1		data/standard_e1
evoman		evoman
solutions_demo		solutions_demo
.gitignore		.gitignore
ESP.cfg		ESP.cfg
ESP.py		ESP.py
NEAT-Config.txt		NEAT-Config.txt
NEAT-Config2.txt		NEAT-Config2.txt
NEAT-Config3.txt		NEAT-Config3.txt
NEAT_controller.py		NEAT_controller.py
NEAT_specialist.py		NEAT_specialist.py
README.md		README.md
SANE.cfg		SANE.cfg
SANE_specialist.py		SANE_specialist.py
boxplot.py		boxplot.py
calculate_stats.py		calculate_stats.py
co_evolution.pdf		co_evolution.pdf
competition_results_v2.py		competition_results_v2.py
controller_generalist_demo.py		controller_generalist_demo.py
controller_specialist_demo.py		controller_specialist_demo.py
demo_controller.py		demo_controller.py
dummy_demo.py		dummy_demo.py
evoman1.0-doc.pdf		evoman1.0-doc.pdf
generation_reporter.py		generation_reporter.py
human_demo.py		human_demo.py
loop.sh		loop.sh
multi_evolution.pdf		multi_evolution.pdf
optimization.py		optimization.py
optimization_coevolution_demo.py		optimization_coevolution_demo.py
optimization_generalist_demo.py		optimization_generalist_demo.py
optimization_specialist_demo.py		optimization_specialist_demo.py
run_generalist.py		run_generalist.py
run_specialist.py		run_specialist.py

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