Paper Info
Title
A comparison of memetic algorithms for the spread spectrum radar polyphase codes design problem
Abstract
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.
Year
DOI
Venue
2008
10.1016/j.engappai.2008.03.011
Engineering Applications of Artificial Intelligence
Keywords
Field
DocType
efficient local search,Particle Swarm Optimization,Differential Evolution,memetic algorithm,dynamic step adaptation procedure,global search heuristics,gradient-based local search procedure,different memetic,spread spectrum radar polyphase,code design problem,codes design problem,Evolutionary Programming
Particle swarm optimization,Memetic algorithm,Mathematical optimization,Polyphase system,Computer science,Differential evolution,Spread spectrum radar,Heuristics,Artificial intelligence,Local search (optimization),Evolutionary programming,Machine learning
Journal
Volume
Issue
ISSN
21
8
Engineering Applications of Artificial Intelligence
Citations 
PageRank 
References 
12
0.58
10
Authors
5
Name
Order
Citations
PageRank
Ángel M. Pérez-Bellido113011.71
Sancho Salcedo-Sanz258071.21
Emilio G. Ortiz-García314010.54
José Antonio Portilla-Figueras4488.53
Lopez-Ferreras, F.51049.93