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AUTOMATICA
2007
103views more  AUTOMATICA 2007»
14 years 9 months ago
Lexicographic perturbation for multiparametric linear programming with applications to control
Optimal control problems for constrained linear systems with a linear cost can be posed as multiparametric linear programs with a parameter in the cost, or equivalently the right-...
Colin Neil Jones, Eric C. Kerrigan, Jan M. Maciejo...
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
15 years 3 months ago
Comparing Genetic Programming and Evolution Strategies on Inferring Gene Regulatory Networks
Abstract. In recent years several strategies for inferring gene regulatory networks from observed time series data of gene expression have been suggested based on Evolutionary Algo...
Felix Streichert, Hannes Planatscher, Christian Sp...
ICRA
2008
IEEE
205views Robotics» more  ICRA 2008»
15 years 4 months ago
Minimum time point assignment for coverage by two constrained robots
— This paper focuses on the assignment of discrete points to two robots, in the presence of geometric and kinematic constraints between the robots. The individual points have dif...
Nilanjan Chakraborty, Srinivas Akella, John T. Wen
INFOCOM
2011
IEEE
14 years 1 months ago
Consort: Node-Constrained Opportunistic Routing in wireless mesh networks
— Opportunistic routing is proposed to improve the performance of wireless networks by exploiting the broadcast nature and spatial diversity of the wireless medium. In this paper...
Xi Fang, Dejun Yang, Guoliang Xue
JMLR
2010
113views more  JMLR 2010»
14 years 4 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...