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» Preference-Based Problem Solving for Constraint Programming
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CP
2009
Springer
14 years 8 months ago
The Complexity of Valued Constraint Models
The Valued Constraint Satisfaction Problem (VCSP) is a general framework encompassing many optimisation problems. We discuss precisely what it means for a problem to be modelled in...
Peter G. Jeavons, Stanislav Zivný
JCP
2008
178views more  JCP 2008»
13 years 7 months ago
Building Design Optimization Using Sequential Linear Programming
-In this paper a nonlinear programming approach is used for the minimization of total communication cost to determine the optimum room dimensions for each room. The nonlinear progr...
Rekha Bhowmik
ICASSP
2008
IEEE
14 years 2 months ago
Robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop an improved approach to the worstcase robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-defin...
Haihua Chen, Alex B. Gershman
ICASSP
2011
IEEE
12 years 11 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
CPAIOR
2005
Springer
14 years 1 months ago
The Temporal Knapsack Problem and Its Solution
Abstract. This paper introduces a problem called the temporal knapsack problem, presents several algorithms for solving it, and compares their performance. The temporal knapsack pr...
Mark Bartlett, Alan M. Frisch, Youssef Hamadi, Ian...