An Efficient Distributed Genetic Algorithm Architecture for Vector Quantizer Design
Wen‐Jyi Hwang, Chien‐Min Ou, Peng-Chieh Hung, Cheng-Yen Yang, Tun-Hao Yu · The Open Artificial Intelligence Journal · 2010
This paper presents a novel distributed genetic algorithm (GA) architecture for the design of vector quantizers. The design is based on a multi-core architecture, where each island of the GA is associated with a hardware accelerator and a softcore processor for independent genetic evolutions. An on-chip RAM with a mutex circuit is adopted for the migration of genetic strings among different islands. This allows a simple and flexible migration for the implementation of hardware distributed GA. Experimental results shows that the proposed architecture has significantly lower computational time as compared with its software counterparts running on multicore processors with multithreading for GA-based optimization.