Abstract
In computer games, one or more groups of units need to move from one location to another as quickly as possible. If there is only one group, then it can be solved efficiently as a dynamic flow problem. If there are several groups with different origins and destinations, then the problem becomes -hard. In current games, these problems are solved by using greedy ad hoc rules, leading to long traversal times or congestions and deadlocks near narrow passages. We present a centralized optimization approach based on Integer Linear Programming. Our solution provides an efficient heuristic to minimize the average and latest arrival time of the units.
Original language | English |
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Title of host publication | Motion in Games - Third International Conference, MIG 2010, Proceedings |
Publisher | Springer |
Pages | 94-105 |
Number of pages | 12 |
ISBN (Print) | 3642169570, 9783642169571 |
DOIs | |
Publication status | Published - 2010 |
Event | 3rd International Conference on Motion in Games, MIG 2010 - Utrecht, Netherlands Duration: 14 Nov 2010 → 16 Nov 2010 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 6459 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 3rd International Conference on Motion in Games, MIG 2010 |
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Country/Territory | Netherlands |
City | Utrecht |
Period | 14/11/10 → 16/11/10 |
Bibliographical note
Funding Information:This work was partially supported by the itea2 Metaverse1 (www.metaverse1.org) Project.