Articles | Sciaria - Science Aria

A Preprocessing Framework for Efficient Approximate Bi-Objective Shortest-Path Computation in the Presence of Correlated Objectives

Informatics

The bi-objective shortest-path (BOSP) problem seeks to find paths between start and target vertices of a graph while optimizing two conflicting object...

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The paper presents a valuable contribution to the field of multi-objective optimization by addressing the bi-objective shortest-path (BOSP) problem, s...

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Garrett M. Fereday, Eric A. Hansen

A Bucket-Based Priority Queue for Bounded-Suboptimal and Anytime A* Search

Informatics

We introduce a priority queue data structure, called a bucket heap, which generalizes the bucket queue commonly used to accelerate A* search for short...

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The paper introduces a novel data structure, the "bucket heap," designed to significantly enhance the performance of A* search algorithms. Positioned...

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Shao-Hung Chan, Thomy Phan, Jiaoyang Li, Sven Koenig

New Mechanisms in Flex Distribution for Bounded Suboptimal Multi-Agent Path Finding

Informatics

Multi-Agent Path Finding (MAPF) is the problem of finding a set of collision-free paths, one for each agent in a shared environment. Its objective is...

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This paper presents a significant advancement in the efficiency of Explicit Estimation Conflict-Based Search (EECBS), a leading algorithm for bounded-...

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Mark Carlson, Daniel Harabor, Peter J. Stuckey

Sub-Microsecond Grid Path Planning, at What Cost?

Informatics

Tree Cache is a lightweight pre-processing approach to grid path finding which works by generating a shortest path tree: from a root cell to all cells...

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This paper presents a significant advancement in grid path planning, directly addressing the common trade-off between search speed and solution qualit...

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Michael Barley, Natasha de Kriek, Santiago Franco, Angel Garcia-Olaya, Tim Hartill, Christopher Triggs, Henry Zwart, Vidal Alcázar, Patricia Riddle

A Problem with the Current Methodology for Comparing Search Algorithms and a Proposed Solution

Informatics

This paper explores how incompletely described tie-break policies can invalidate the experimental results reported in papers on optimal bidirectional...

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This paper addresses a crucial methodological issue within the experimental comparison of optimal bidirectional heuristic search (BiHS) algorithms. Th...

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Shahar Bardugo, Daniel Koyfman, Dor Atzmon

Finding All Optimal Solutions in Multi-Agent Path Finding

Robotics

The Multi-Agent Path Finding problem (MAPF) aims to find conflict-free paths for a group of agents, leading each agent to its respective goal. MAPF is...

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The paper addresses the Multi-Agent Path Finding (MAPF) problem, a critical challenge in robotics and autonomous systems where conflict-free paths mus...

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Ernst Althaus, Markus Blumenstock, Nick Rassau, Felix Martin Schuhknecht, Anton Quentin Zimdars

Sorting Colored Balls in Colored Tubes

Informatics

We consider a game that was played in a German television show that is similar to the sorting balls puzzle. In it, we are assumed to move one colored...

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This paper introduces a formal analysis of a "colored balls in colored tubes" puzzle, drawing inspiration from a German television game show. The prob...

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Forest Agostinelli

A Conflict-Driven Approach for Reaching Goals Specified with Negation as Failure

Informatics

In the context of pathfinding, first-order logic allows for the expressive specification of goals. Using negation as failure, one can specify what mus...

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This paper introduces a novel approach, Conflict-Driven Goal Reaching (CDGR), designed to address the challenges of integrating negation as failure (N...

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Maxim Likhachev, Hana Rudová, Enrico Scala

Frontmatter

Informatics

This frontmatter introduces the proceedings of the Eighteenth International Symposium on Combinatorial Search (SoCS 2025), held from August 12–15, 202...

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This submission, titled "Frontmatter," serves as the essential introductory material for the proceedings of the Eighteenth International Symposium on...

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This paper proposes a timely and relevant exploration into the critical domains of decision-making and organizational management, viewed through the u...