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» Solving Demodulation as an Optimization Problem
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IDA
2008
Springer
15 years 3 months ago
A comprehensive analysis of hyper-heuristics
Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory pro...
Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz
JCO
2011
63views more  JCO 2011»
14 years 6 months ago
Robust multi-sensor scheduling for multi-site surveillance
This paper presents mathematical programming techniques for solving a class of multi-sensor scheduling problems. Robust optimization problems are formulated for both deterministic ...
Nikita Boyko, Timofey Turko, Vladimir Boginski, Da...
IJAIT
2008
99views more  IJAIT 2008»
15 years 3 months ago
Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraint Programming
Instruction scheduling is one of the most important steps for improving the performance of object code produced by a compiler. A fundamental problem that arises in instruction sch...
Abid M. Malik, Jim McInnes, Peter van Beek
TSP
2010
14 years 10 months ago
MIMO transceiver optimization with linear constraints on transmitted signal covariance components
Abstract--This correspondence revisits the joint transceiver optimization problem for multiple-input multiple-output (MIMO) channels. The linear transceiver as well as the transcei...
Ching-Chih Weng, P. P. Vaidyanathan
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 4 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu