2014 IEEE Symposium on Computer Applications and Communications 2014
DOI: 10.1109/scac.2014.32
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A Genetic-Simulated Annealing Algorithm Based on PTS Technique for PAPR Reduction in OFDM System

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Cited by 6 publications
(2 citation statements)
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“…In order to overcome the drawbacks of PTS, optimal selection of phase factors was carried out using optimisation techniques such as particle swarm optimisation (PSO) [28–35], genetic algorithm [36–42], simulated annealing [43, 44] and differential evolution [45, 46].…”
Section: Introductionmentioning
confidence: 99%
“…In order to overcome the drawbacks of PTS, optimal selection of phase factors was carried out using optimisation techniques such as particle swarm optimisation (PSO) [28–35], genetic algorithm [36–42], simulated annealing [43, 44] and differential evolution [45, 46].…”
Section: Introductionmentioning
confidence: 99%
“…In order to reduce searching complexity and the use of side information, several extensions of PTS has been proposed recently in the literature [69][70][71][72][73][74][75][76][77]. In [74], a Genetic algorithm based PTSmethod (GA-PTS) is proposed as a novel and sub-optimal PAPR reduction. The GA-PTS has lower computational load than original PTS method since it takes advantages of genetic algorithm and simulated annealing algorithm to search the best phase factors of PTS.…”
mentioning
confidence: 99%