Title :
A Population-oriented Architecture for Particle Swarms
Author :
Pefia, J. ; Upegui, Andres
Author_Institution :
Univ. de Lausanne, Lausanne
Abstract :
Self-adaptive autonomous hardware systems require on-chip heuristics to generate the circuit that constitutes the desired solution. In this paper, we present a population-oriented hardware architecture for particle swarm optimization with discrete recombination (PSO-DR), a hardware-friendly particle swarm that has shown to perform better than the standard PSO for certain parameter values and test functions. We present simulation and synthesis results showing the feasibility, performance, and advantages of the proposed architecture.
Keywords :
computer architecture; particle swarm optimisation; discrete recombination; on-chip heuristics; particle swarm optimization; population-oriented architecture; population-oriented hardware architecture; self-adaptive autonomous hardware systems; Adaptive arrays; Circuit synthesis; Computer architecture; Digital systems; Evolutionary computation; Genetics; Hardware; Particle swarm optimization; Stochastic processes; System-on-a-chip;
Conference_Titel :
Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-7695-2866-3
DOI :
10.1109/AHS.2007.14