@INCOLLECTION\{IMM2007-05171,
    author       = "J. Madsen and T. K. Stidsen and P. Kjaerulf and S. Mahadevan",
    title        = "Multi-Objective Design Space Exploration of Embedded System Platforms",
    year         = "2007",
    pages        = "185-194",
    booktitle    = "From Model-Driven Design to Resource Management for Distributed Embedded Systems",
    volume       = "",
    number       = "",
    series       = "{IFIP} International Federation for Information Processing",
    publisher    = "Springer",
    address      = "",
    edition      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5171-full.html",
    abstract     = "In this paper we present a multi-objective genetic algorithm to solve the problem of mapping a set of task graphs onto a heterogeneous multiprocessor platform. The objective is to meet all real-time deadlines subject to minimizing system cost and power consumption, while staying within bounds on local memory sizes and interface buffer sizes. Our approach allows for mapping onto a fixed platform or onto a flexible platform where architectural changes are explored during the mapping. 
We demonstrate our approach through an exploration of a smart phone, where five task graphs with a total of 530 tasks after hyper period extension are mapped onto a multiprocessor platform. The results show four non-inferior solutions which tradeoffs the various objectives.",
    isbn_issn    = "1571-5736"
}