Sequence Design for Spread Spectrum
Sequence Design for Spread Spectrum
A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Harmony search based algorithms for bandwidth-delay-constrained least-cost multicast routing
Computer Communications
A comparison of memetic algorithms for the spread spectrum radar polyphase codes design problem
Engineering Applications of Artificial Intelligence
Self-adaptive harmony search algorithm for optimization
Expert Systems with Applications: An International Journal
Optimal scheduling of multiple dam system using harmony search algorithm
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Harmony search algorithm for solving Sudoku
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Expert Systems with Applications: An International Journal
Broadcast scheduling in packet radio networks using Harmony Search algorithm
Expert Systems with Applications: An International Journal
A novel grouping harmony search algorithm for the multiple-type access node location problem
Expert Systems with Applications: An International Journal
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
A method of a spread-spectrum radar polyphase code design
IEEE Journal on Selected Areas in Communications
Expert Systems with Applications: An International Journal
Survey A survey on applications of the harmony search algorithm
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
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In this paper we present the application of a hybrid harmony search (HS) algorithm to the Spread-Spectrum Radar Polyphase (SSRP) codes design. Such a design can be formulated as a non-linear max-min optimization problem, hard to be solved using classical numerical techniques. Soft-computing approaches have then been successfully applied to solve the SSRP in the past, such as evolutionary computation techniques, variable neighborhood approaches or tabu search algorithms. In this paper we elaborate on the proposed hybrid HS approach, which consists of a naive implementation of the HS algorithm along with an adaptive-step gradient-guided local search procedure. Intensive computer simulations show that the proposed hybrid HS algorithm is able to outperform existing algorithms for the SSRP design problem (including the best reported so far), with significant differences in large-size SSRP instances.