Abstract
Network-on-chip (NoC) is considered the next generation of communication in embedded system. In this case, an application is implemented by a set of collaborative intellectual propriety blocks (IPs). The selection of the most suited block from a library of IPs is an NP-complete problem. In this paper, we use Multi-Objective Particle Swarm Optimization (MOPSO) to yield the best selection of IP to implement efficiently a given application on a NoC infrastructure. In this purpose, MOPSO is modified to obtain assignments that minimize power, hardware area and execution time requirements of the application. We show that the achieved solutions are better that those obtained by other multi-objective optimization algorithms.
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