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CompositeTechnique01
Neo-X edited this page Sep 18, 2015
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Initial Composite Technique in SteerSuite
Key | Description |
---|---|
number of frames | The number frames simulated |
calls to rand() | Number of times the random number generator was called |
collisions | number of collisions as sum of collisions per frame |
time | simulation time till all agents are complete (reached targets) |
effort | PLE effort for all the agents |
acceleration | sum of acceleration for all agents |
score | Unique score per benchmark type... |
success | reference agent reached target without collision |
num_unique collisions | Number of unique collisions in the simulation |
total time enabled | time refference agent was enabled |
total acceleration | acceleration for refference agent |
total distance traveled | distance refference agent travelled |
total change in speed | total reference agent change in speed |
total degrees turned | total degrees turned for reference agent |
sum_total_of_instantaneous_acceleration | |
sum_total_of_instantaneous_kinetic_energies | |
average_kinetic_energy | |
agent_complete | reference agent reached its target |
agent_success | reference agent is complete and had no collisions |
optimal_path_length | optimal path length for the reference agent |
Optimal Path ratio | This is equal to <br> diffRatio = (\frac {totalDistance - optimalDistance} {optimalDistance}) <br> if diffRatio > 1.0 then diffRatio = 1.0 <br> fratioToOptimalPathLength = diffRatio <br> What I think it should be: <br> if totalDistance < optimalDistance then 0; <br> else |
(totalDistance / optimalDistance) - 1 <br> lower is better | |
optimal_time | optimal time it will take the reference agent to complete its goal |
time ratio | optimal time ratio to actual simulation time for reference agent |
agent_path_lengths | The search path lengths for all agents |
agent_time_enableds | The time each agent was enabled |
agent_distance_traveleds | The distance travelled in the simulation |
agent_completes | The completion status of each agent in the simulation |
agent_successes | The success status of each agent in the simulation |