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In this paper we review the fundamental problems and techniques common to most algorithms and provide a general overview of the field.
In the multi-objective shortest-path problem we are interested in computing a path, or a set of paths that simultaneously balance multiple cost func-.
In the multi-objective shortest-path problem we are interested in computing a path, or a set of paths that simultaneously balance multiple cost functions.
In the multi-objective shortest-path problem we are interested in computing a path, or a set of paths that simultaneously balance multiple cost functions.
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In the multi-objective shortest-path problem we are interested in computing a path, or a set of paths that simultaneously balance multiple cost functions.
ABSTRACT This project develops faster search algorithms for route-planning problems where multiple cost measures are used to determine the best solutions.
Mar 25, 2023 · Heuristic search is a powerful approach that has successfully been applied to a broad class of planning problems, including classical planning, ...
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Aug 3, 2024 · This paper provides a theoretical study on Multi-Objective Heuristic Search. We first classify states in the state space into must-expand, maybe-expand, and ...
This study establishes a multi-objective shortest path mixed-integer programming model based on a multimodal transportation network.
Heuristic-search approaches for the multi- objective shortest-path problem: Progress and research opportunities. In IJCAI-23, pages 6759–6768. ijcai.org ...