Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 21, Issue 8, Pages 1233-1238Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2008.03.011
Keywords
Polyphase codes; Code design; Evolutionary programming; Memetic algorithms
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Funding
- Comunidad de Madrid
- Universidad de Alcala
- Ministerio de Educacion of Spain [CCG06-UAH/TIC-0460, CCG07-UAH/TIC-1894, TEC2006-07010]
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This paper presents three memetic algorithms to solve the spread spectrum radar polyphase code design problem, based on Evolutionary Programming, Particle Swarm Optimization and Differential Evolution, respectively. These global search heuristics are hybridized with a gradient-based local search procedure which includes a dynamic step adaptation procedure to perform accurate and efficient local search for better solutions. We have compared the different memetic algorithms proposed in several numerical examples, and we have also demonstrated the performance of our approaches against existing approaches for this problem. (C) 2008 Elsevier Ltd. All rights reserved,
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