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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 6 months ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...
124
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ESTIMEDIA
2006
Springer
15 years 6 months ago
Neighbors-on-Path: A New Selection Strategy for On-Chip Networks
Efficient and deadlock-free routing is critical to the performance of networks-on-chip. In this paper we present an approach that can be coupled to any adaptive routing algorithm ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
JAIR
2008
107views more  JAIR 2008»
15 years 2 months ago
Exploiting Subgraph Structure in Multi-Robot Path Planning
Multi-robot path planning is difficult due to the combinatorial explosion of the search space with every new robot added. Complete search of the combined state-space soon intracta...
Malcolm Ross Kinsella Ryan
TVCG
2008
138views more  TVCG 2008»
15 years 2 months ago
Real-Time Path Planning in Dynamic Virtual Environments Using Multiagent Navigation Graphs
We present a novel approach for efficient path planning and navigation of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multiagent Navigatio...
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L...
120
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TROB
2010
103views more  TROB 2010»
14 years 9 months ago
Time Parameterization of Humanoid-Robot Paths
Abstract--This paper proposes a unified optimization framework to solve the time parameterization problem of humanoid robot paths. Even though the time parameterization problem is ...
Wael Suleiman, Fumio Kanehiro, Eiichi Yoshida, Jea...