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Challenge "aido2-AMOD-fleet_size"

Challenge description

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.

Leaderboard

Submissions

Challenge logistics

Scoring

Scoring criteria

These are the metrics defined:

fleet_size - fleet_size

Penalty for fleet size.

Dependencies

Dependencies

No dependencies

Details

Technical details

Evaluation steps details

Evaluation step 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.

Resources required for evaluating this step

No particular resources required.

Evaluation step 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.

Resources required for evaluating this step

No particular resources required.