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» Solving Hierarchical Optimization Problems Using MOEAs
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82
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ACRI
2004
Springer
15 years 6 months ago
Evolving Transition Rules for Multi Dimensional Cellular Automata
Abstract. Genetic Algorithms have been used before to evolve transition rules for one dimensional Cellular Automata (CA) to solve e.g. the majority problem and investigate communic...
Ron Breukelaar, Thomas Bäck
90
Voted
AUTOMATICA
2007
98views more  AUTOMATICA 2007»
15 years 20 days ago
LMI-based sensor fault diagnosis for nonlinear Lipschitz systems
The problem of sensor fault diagnosis in the class of nonlinear Lipschitz systems is considered. A dynamic observer structure is used with the objective to make the residual conve...
A. M. Pertew, H. J. Marquez, Q. Zhao
CVPR
2012
IEEE
13 years 3 months ago
Scale resilient, rotation invariant articulated object matching
A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff
107
Voted
GECCO
2010
Springer
159views Optimization» more  GECCO 2010»
15 years 5 months ago
Evolution of division of labor in genetically homogenous groups
Within nature, the success of many organisms, including certain species of insects, mammals, slime molds, and bacteria, is attributed to their performance of division of labor, wh...
Heather Goldsby, David B. Knoester, Charles Ofria
91
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ATAL
2005
Springer
15 years 6 months ago
From team plan to individual plans: a petri net-based approach
This paper focuses on a framework for representing a team plan and its projections on individual agents. The team plan is represented with a coloured Petri net. Using the implicit...
Olivier Bonnet-Torrés, Catherine Tessier