文件列表:

AntColonyOptimizer.py (7390, 2018-11-24)
VRP1 (0, 2018-11-24)
VRP1\capacity.txt (134, 2018-11-24)
VRP1\demand.txt (300, 2018-11-24)
VRP1\distance.txt (39105, 2018-11-24)
VRP1\transportation_cost.txt (79, 2018-11-24)
VRP2 (0, 2018-11-24)
VRP2\capacity.txt (134, 2018-11-24)
VRP2\demand.txt (282, 2018-11-24)
VRP2\distance.txt (40033, 2018-11-24)
VRP2\transportation_cost.txt (79, 2018-11-24)
__pycache__ (0, 2018-11-24)
__pycache__\AntColonyOptimizer.cpython-36.pyc (6378, 2018-11-24)
__pycache__\grid_search.cpython-36.pyc (2610, 2018-11-24)
__pycache__\model.cpython-36.pyc (18867, 2018-11-24)
final_plot.py (1498, 2018-11-24)
ikw_final_scheduler.py (364, 2018-11-24)
ikw_grid_adapter.py (1087, 2018-11-24)
ikw_grid_scheduler.py (786, 2018-11-24)
model.py (29779, 2018-11-24)
plots (0, 2018-11-24)
plots\best_heuristic_test_scenario1_.png (48782, 2018-11-24)
plots\best_heuristic_test_scenario2_.png (52877, 2018-11-24)
plots\mean_heuristic_test_scenario1_.png (55565, 2018-11-24)
plots\mean_heuristic_test_scenario2_.png (59410, 2018-11-24)
plotting.py (3565, 2018-11-24)
results (0, 2018-11-24)
results\final_test.pickle (379, 2018-11-24)
results\final_test_best.csv (25, 2018-11-24)
results\final_test_mean.csv (55, 2018-11-24)
results\final_test_solution.csv (262, 2018-11-24)
results\heuristic_test.pickle (391, 2018-11-24)
results\heuristic_test_best.csv (30623, 2018-11-24)
results\heuristic_test_mean.csv (55828, 2018-11-24)
search.py (5127, 2018-11-24)

This is our hand-in code of the final task of the course "Nature Inspired Algotrithms" by Nico Potyka. We added every file here, we have used for evalutation. Every file is commented and should be self-explanatory. Necessary files for deployment are model.py, AntColonyOptimizer.py, search.py and plotting.py - from which search.py contains the most central interface for deployment and persistence. Optional files are the ikw_*.py files, used with the ikw-grid and final_plot.py, only used for the final plot. Additionally there is the Vehicle_Routing_Problem.pdf that contains a formal description and analysis of our code. In general, everyone of our group worked on several aspects of the project.

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