GitHub - sarvenaz-ch/CMAES: This repository contains code and resources for optimizing the furniture arrangement inside a hospital room using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) optimization method. The goal is to reduce the risk of patient falls by strategically arranging furniture within the room.

sarvenaz-ch / CMAES Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

This repository contains code and resources for optimizing the furniture arrangement inside a hospital room using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) optimization method. The goal is to reduce the risk of patient falls by strategically arranging furniture within the room.

1 star 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
__pycache__		__pycache__
Fall_risk_assesment_1.py		Fall_risk_assesment_1.py
Object_Library.csv		Object_Library.csv
Optimization.py		Optimization.py
ReadMe.txt		ReadMe.txt
Trajectory_generation.py		Trajectory_generation.py
baseline.png		baseline.png
class_CMAESRoom.py		class_CMAESRoom.py
class_EnvironmentGenerated.py		class_EnvironmentGenerated.py
class_EnvironmentGenerated_CMAES.py		class_EnvironmentGenerated_CMAES.py
class_FallRiskAssesment.py		class_FallRiskAssesment.py
fall_risk_env.yml		fall_risk_env.yml
functions_collision_detection.py		functions_collision_detection.py
functions_door_related.py		functions_door_related.py
functions_fitness.py		functions_fitness.py
functions_geometry.py		functions_geometry.py
functions_object_placement.py		functions_object_placement.py
main.py		main.py
room0-0.png		room0-0.png
room1-0.png		room1-0.png

Repository files navigation

This folder contains files for running basic CMA-ES algorithm. The functions and classes from v08 is being replaced by those developed for simulated annealing, SA, v12_outboard
This code is being developed for ICORES

Updated files:
- trajectory generation:
	- r_ patient: 0.1 -> 0.3