Title :
An adaptive binary particle swarm optimization for evolvable hardware
Author :
Ping, Li ; Yu, Shi
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Based on FPTA-2, an adaptive binary particle swarm optimization (ABPSO) is proposed to overcome the shortcomings of binary particle swarm optimization (BPSO). Two circuits, an amplifier and an integrator, are evolved to compare ABPSO with genetic algorithm (GA) and Hereboy. Simulation results show ABPSO is a simple and powerful algorithm, well suited for evolvable hardware. It not only has satisfying precision, but also can find better solutions at a greater probability.
Keywords :
genetic algorithms; particle swarm optimisation; programmable circuits; transistor circuits; FPTA-2; adaptive binary particle swarm optimization; evolvable hardware; genetic algorithm; Adaptation model; Hardware; Optimization; US Department of Defense; FPTA-2; amplifier; binary particle swarm optimization; evolvable hardware; integrator;
Conference_Titel :
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7860-6
DOI :
10.1109/INDUSIS.2010.5565903
