Simulator for DCOP-MST type of problems where locations (cells) are also nodes

Distributed Constrained Optimization Problems in context of Mobile Sensor Teams (DCOP_MST). This simulator helps to improve the understanding of underlying dynamics of those kind of problems.

Here: cells and targets - function nodes, robots - variable nodes.

The initial settings are in CONCTANTS.py file.

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Small Grid	Large Grid

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
pics		pics
sounds		sounds
.gitignore		.gitignore
CAMS.py		CAMS.py
CONSTANTS.py		CONSTANTS.py
DSA_MST.py		DSA_MST.py
Max_sum_MST.py		Max_sum_MST.py
README.md		README.md
algorithms.py		algorithms.py
cell.py		cell.py
cell_sprite.py		cell_sprite.py
drafts.py		drafts.py
function_node.py		function_node.py
main.py		main.py
main_help_functions.py		main_help_functions.py
plot_graph.ipynb		plot_graph.ipynb
plot_graphs.py		plot_graphs.py
pure_functions.py		pure_functions.py
pygame_part.py		pygame_part.py
random_walk.py		random_walk.py
robot.py		robot.py
robot_sprite.py		robot_sprite.py
select_pos.py		select_pos.py
target.py		target.py
target_sprite.py		target_sprite.py
title_sprite.py		title_sprite.py
tracker.py		tracker.py
variable_node.py		variable_node.py
z_RR_bar_highest_iteration.py		z_RR_bar_highest_iteration.py
z_RR_cov_time_iters.py		z_RR_cov_time_iters.py
z_RR_coverage_vs_iters.py		z_RR_coverage_vs_iters.py
z_RR_data.py		z_RR_data.py
z_RR_times_graph.py		z_RR_times_graph.py
z_collisions_vs_iters.py		z_collisions_vs_iters.py
z_coverage_vs_dalay_graph.py		z_coverage_vs_dalay_graph.py
z_coverage_vs_iters.py		z_coverage_vs_iters.py

Arseni1919/max_sum_cells_simulator

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Simulator for DCOP-MST type of problems where locations (cells) are also nodes

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