@inproceedings{popp:1998:smc,
        title = {Automated hardware design using genetic programming,
                 {VHDL}, and {FPGAs}},
        address = {San Diego, CA USA},
        author = {Robert L. Popp and David J. Montana and Richard R. Gassner and Gordon Vidaver and Suraj Iyer},
        booktitle = {IEEE International Conference on Systems, Man, and
                 Cybernetics},
        month = {11-14 October},
        pages = {2184--2189},
        publisher = {IEEE},
        volume = 3,
        year = 1998,
        notes = {Inspec Accession Number: 6189463},
	size = {5 pages},
	abstract = {We have developed a completely automated approach to
                 hardware design based on integrating three core
                 technologies into one comprehensive system, namely
                 genetic programming (GP), the VHSIC Hardware
                 Description Language (VHDL) and field programmable gate
                 arrays (FPGAs). Our system uses an automated GP engine,
                 as opposed to a human designer, to evolve a hardware
                 design composed of one or more FPGAs that will
                 maximally achieve an application's software
                 requirements. Several variants of our system exist;
                 other variants are currently under development. The
                 focus of this paper is to describe our original system
                 design and its most recent revision to date},
	biburl = {http://www.bibsonomy.org/bibtex/268879af3375eb231c3fa888955a82307/brazovayeye},
	keywords = {evolution, automated hardware logic, optimisation, languages, design, software programming, programmable description variants CAD, algorithms, management, VHSIC Description Language, arrays, FPGA, gate field system Hardware genetic requirements, circuit configuration VHDL, design}
}

@proceedings{miller:2001:gp,
        title = {Genetic Programming, Proceedings of Euro{GP}'2001},
        address = {Lake Como, Italy},
        editor = {Julian Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon},
        month = {18-20 April},
        publisher = {Springer-Verlag},
        series = {LNCS},
        volume = 2038,
        year = 2001,
        url = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038},
        address = {Berlin},
	isbn = {3-540-41899-7},
	organisation = {EvoNET},
	notes = {EuroGP'2001},
	size = {391 pages approx},
	biburl = {http://www.bibsonomy.org/bibtex/2c6b0cf2cb5e153bca4b1dc0f9e64e61f/brazovayeye},
	keywords = {Linear control, Evolvable Feature of robust, Computational Block-oriented modelling, Grammatical Neutral Inverse machines, Kinematics, Multi-expression Contour Trees, Active Cellular Controller Series Recognition, Evolution, Arm, Fitness, robot, Time programming, size, BDD, Image Reasoning, CAD, Polymorphism, Learning, Discovery, One-then-zeros Intrinsic Function Character STGP, Crossover Length modular representation, model, DNA, Systems, Causality, Robotic distributed design, function MAX Extraction, Layered Regression, Process Program Genotype-Phenotype individuals, Retina, Complexity, Turing VLSI bias, landscape, Parallel Knowledge Developmental prediction, Problem structures, Iterated Dynamic points, Pattern Evolvability, VHDL, Fixed processing, mutation, Mapping, Generator, Problem, Multipopulation algorithms, Machine Boolean Bloat, Animat, Genetic Symbolic genetic problem, Artificial representations, detection, distributions, Hardware, Evolution}
}