Cultural Shuffled Frog Leaping Algorithm and its Applications for the Radar Network Deployment
The substance of the deployment of radar network is a multi-parameter optimization problem. This paper presents an objective function to deploy the radar network and a shuffled frog leaping algorithm (SFLA) is proposed to implement the radar network deployment. The proposed cultural shuffled frog leaping algorithm (CSFLA) makes use of mechanism of cultural evolution to update the locations of cultural frogs. Simulation results show that the proposed CSFLA has stronger abilities of exploitation and exploration by designing new leaping equations based on knowledge strategy and information communication, which may obviously improve the performance of SFLA. The radar network deployment based on the CSFLA is superior to previous deployment based on particle swarm optimization (PSO) and the SFLA in the convergence speed and optimization results. It provides a new idea to the radar network deployment.
Y. J. Cui et al., "Cultural Shuffled Frog Leaping Algorithm and its Applications for the Radar Network Deployment", Applied Mechanics and Materials, Vol. 624, pp. 516-519, 2014