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In the Fleet Size Championship, the goal is to reduce the fleet size as much as possible while keeping the total waiting time W below a fixed level.
The test scenario is San Francisco.
These are the metrics defined:
fleet_size
- fleet_size
Penalty for fleet size.
No dependencies
At the beginning execute step step1-simulation
.
If step step1-simulation
has result success, then execute step step2-scoring
.
If step step1-simulation
has result failed, then declare the submission FAILED
.
If step step1-simulation
has result error, then declare the submission ERROR
.
If step step2-scoring
has result success, then declare the submission SUCCESS
.
If step step2-scoring
has result failed, then declare the submission FAILED
.
If step step2-scoring
has result error, then declare the submission ERROR
.
step1-simulation
Timeout 7200.0
This is the simulation step.
This is the Docker Compose configuration skeleton:
version: '3' services: solution: image: SUBMISSION_CONTAINER environment: {} aido-host: image: docker.io/andreacensi/aido2-amod-fleet_size-step1-simulation-aido-host:2019_04_24_10_58_10@sha256:03b346288d3bae570a3bddc46399a84f9c7fe7986535402e107806c746ca2c98 environment: SCENARIO: SanFrancisco.20080520 REQUESTS_SIZE: '500'
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
No particular resources required.
step2-scoring
Timeout 600.0
This step computes the actual scores.
This is the Docker Compose configuration skeleton:
version: '3' services: aido-scorer: image: docker.io/andreacensi/aido2-amod-fleet_size-step2-scoring-aido-scorer:2019_04_24_10_58_42@sha256:78fece85eb90e5c190b137622713e0567abca9365318181164ffe6b25b4de858 environment: {}
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
No particular resources required.