Jun 1, 2024 · This document presents two main contributions. First, we provide a simple formalization of good-quality subsets of a Pareto solution set.
2020) is a state-of-the-art bi-objective search algorithm on top of which we build our approaches for computing small diverse subsets of Pareto solution sets.
Bi-objective search requires computing a Pareto solution set which contains a set of paths. In real-world applications, Pareto solution sets may contain ...
Fingerprint. Dive into the research topics of 'Finding a Small, Diverse Subset of the Pareto Solution Set in Bi-Objective Search (Extended Abstract)'.
Subset Approximation of Pareto Regions with Bi-Objective A ...
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To address this issue, we present a new approach to subset approximation of the solution set, that can be used as the basis for an anytime bi-objective search ...
Finding a Small, Diverse Subset of the Pareto Solution Set in Bi-Objective Search (Extended Abstract). Finding a Small, Diverse Subset of the Pareto Solution ...
Abstract — Evolutionary Multi-objective Optimization aims at finding a diverse set of Pareto-optimal solutions whereof the decision maker can choose the ...
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Therefore, in this work we aim to find a set of Pareto- optimal solutions all at once in a bi-objective space of precision and recall, i.e., rule subsets in ...
To address this issue, we present a new approach to subset approximation of the solution set, that can be used as the basis for an anytime bi-objective search ...
The Pareto-optimal solution set is the set of all Pareto-optimal solutions. We are interested in finding any maximal subset of the Pareto-optimal solution set ...
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