An Evolutionary Algorithm for Parametric Array Signal Processing

This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a population capable of exploring the search space while preserving the diversity to prevent the premature convergence. The former is achieved by a niche-based adaptive mutation scheme and the latter by a niche-based local selection scheme. Simulations demonstrate its viability and superiority over the alternating projection method currently used to solve such parameter optimization tasks.

• Type: Conference
• Year: 1995
• Where: AISB
• Authors: Dekun Yang, Stuart J. Flockton
• Keywords: AISB 1995, Artificial Intelligence, Parameter Optimization, Parameter Optimization Problems, Parameter Optimization Tasks