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IJHIS
2006
94views more  IJHIS 2006»
15 years 4 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
159
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TSMC
2011
324views more  TSMC 2011»
14 years 11 months ago
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling
—The university course timetabling problem (UCTP) is a combinatorial optimization problem, in which a set of events has to be scheduled into time slots and located into suitable ...
Shengxiang Yang, Sadaf Naseem Jat
GLOBECOM
2007
IEEE
15 years 11 months ago
A Steepest Descent Relocation Algorithm for Placement of Sinks in a Sensor Network
— In this paper we use an information flow model for placement of traffic sinks in a wireless sensor network. Our mathematical model translates a communication network composed...
Mehdi Kalantari, Mark A. Shayman
CORR
2010
Springer
159views Education» more  CORR 2010»
15 years 1 months ago
On optimizing over lift-and-project closures
The lift-and-project closure is the relaxation obtained by computing all lift-and-project cuts from the initial formulation of a mixed integer linear program or equivalently by co...
Pierre Bonami
ICASSP
2008
IEEE
15 years 11 months ago
Discriminative training by iterative linear programming optimization
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Brian Mak, Benny Ng