Exploring Metric Sensitivity of Planners for Generation of Pareto Frontiers
Michal Sroka, Long Derek
Abstract
Michal Sroka, Long Derek
Abstract
This paper explores how current planners behave when exposed to multiple metrics, examining which of the planners are metric sensitive and which are not. For the metric insensitive planners we propose a new method of simulating metric sensitivity for the purpose of generation of diverse plans close to a pareto frontier. It is shown that metric sensitive planners are good candidates for generating sets of pareto optimal plans.
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This paper explores how current planners behave when exposed to multiple metrics, examining which of the planners are metric sensitive and which are not. For the metric insensitive planners we propose a new method of simulating metric sensitivity for the purpose of generation of diverse plans close to a pareto frontier. It is shown that metric sensitive planners are good candidates for generating sets of pareto optimal plans.
Key concepts: Metric (unit), Sensitivity (control systems), Pareto principle, Pareto optimal, Computer science, Mathematical optimization, Operations research, Mathematical economics