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Orange-OpenSource / pyDcop

Library for research on Distributed Constraints Optimization Problems
https://pydcop.readthedocs.io/
BSD 3-Clause "New" or "Revised" License
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meeting schedule issue #36

Open Dhanujagithub opened 2 years ago

Dhanujagithub commented 2 years ago

when I try to resolve meeting schedule problem with PEAV and pop logo. it always ask to Len(agents) and Len(varibales) to be equal. in my case if one agent controls more variables. how to provide that.

agents: A: {} B: {} C: {} D: {} E: {} F: {} G: {}

hosting_costs: A: computations: x_1A: 0 x_4A: 0 x_6A: 0 x_7A: 0 default: 0 B: computations: x_1B: 0 x_4B: 0 x_6B: 0 x_7B: 0 default: 0 C: computations: x_1C: 0 x_4C: 0 x_5C: 0 default: 0 D: computations: x_1D: 0 x_4D: 0 x_5D: 0 default: 0 E: computations: x_2E: 0 x_4E: 0 x_5E: 0 default: 0 F: computations: x_2F: 0 x_3F: 0 x_4F: 0 x_7F: 0 default: 0 G: computations: x_3G: 0 x_4G: 0 default: 0

Dhanujagithub commented 2 years ago

when I try to resolve meeting schedule problem with PEAV and dpop. it always ask to Len(agents) and Len(varibales) to be equal. in my case if one agent controls more variables. how to provide that.

agents: A: {} B: {} C: {} D: {} E: {} F: {} G: {}

hosting_costs: A: computations: x_1A: 0 x_4A: 0 x_6A: 0 x_7A: 0 default: 0 B: computations: x_1B: 0 x_4B: 0 x_6B: 0 x_7B: 0 default: 0 C: computations: x_1C: 0 x_4C: 0 x_5C: 0 default: 0 D: computations: x_1D: 0 x_4D: 0 x_5D: 0 default: 0 E: computations: x_2E: 0 x_4E: 0 x_5E: 0 default: 0 F: computations: x_2F: 0 x_3F: 0 x_4F: 0 x_7F: 0 default: 0 G: computations: x_3G: 0 x_4G: 0 default: 0

Dhanujagithub commented 2 years ago

this is the error I am getting ydcop.distribution.objects.ImpossibleDistributionException: Not enough agents for one agent for each computation : 7 < 23

I have 7 agents and in total they control 23 variables