Exploring Metric Sensitivity of Planners for Generation of Pareto Frontiers
نویسندگان
چکیده
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.
منابع مشابه
Static Security Constrained Generation Scheduling Using Sensitivity Characteristics of Neural Network
This paper proposes a novel approach for generation scheduling using sensitivitycharacteristic of a Security Analyzer Neural Network (SANN) for improving static securityof power system. In this paper, the potential overloading at the post contingency steadystateassociated with each line outage is proposed as a security index which is used forevaluation and enhancement of system static security....
متن کاملMulti-objective planning using a metric sensitive planner
Automated planning addresses the problem of generating a sequence of actions to satisfy given goal conditions for a constructed model of the world. In recent planning approaches heuristic guidance is used to lead the search towards the goal. The focus of this work is on domains where plan quality is assessed with plan metrics. A discussion of the impact of a popular relaxed planning graph heuri...
متن کاملMOPF: A Multi-Objective Planning Framework for Generation of Pareto-Optimal Plan Frontiers using Satisficing Planners
Current planners focus on finding a single solution to a given problem. The decision maker (DM) has a choice of either finding the solution fast using a satisficing planner or finding a high quality solution using an optimal planner. The quality of the solution is evaluated in terms of a metric function given by the DM. That forces the DM to specify preferences in terms of a single metric funct...
متن کاملA Hybrid Pareto Frontier Generation Method for Trade-Off Analysis in Transportation Asset Management
Trade-off analysis, one of the key elements of transportation asset management (TAM), helps decision makers to not only quantify how different resource allocations affect system performance but also investigate the trade-off relationships between cost and performance measures and between different performance measures. In the fast-growing field of TAM, researchers are beginning to quantify the ...
متن کاملA full ranking method using integrated DEA models and its application to modify GA for finding Pareto optimal solution of MOP problem
This paper uses integrated Data Envelopment Analysis (DEA) models to rank all extreme and non-extreme efficient Decision Making Units (DMUs) and then applies integrated DEA ranking method as a criterion to modify Genetic Algorithm (GA) for finding Pareto optimal solutions of a Multi Objective Programming (MOP) problem. The researchers have used ranking method as a shortcut way to modify GA to d...
متن کامل