Towards Evolvable Hardware: The Evolutionary Engineering ApproachSpringer Science & Business Media, 1996 M04 10 - 265 pages Evolutionary computing, inspired by the biological world, is one of the emergent technologies of our time. Being essentially a software activity, it has been successfully applied, e.g. for optimization and machine learning in various areas. The tremendous increase in computational power and, more recently, the appearance of a new generation of programmable logic devices allow for a new approach to designing computing machines inspired by biological models: it is now possible to make the hardware itself evolve. This book is based on a workshop on evolvable hardware, held in Lausanne, Switzerland, in October 1995. It reports the state of the art of research in this field and presents two introductory chapters, written with the novice reader in mind. |
Contents
I | 5 |
III | 7 |
IV | 8 |
V | 11 |
VI | 12 |
VII | 14 |
VIII | 17 |
IX | 23 |
LIV | 111 |
LV | 115 |
LVI | 127 |
LVII | 140 |
LVIII | 146 |
LIX | 152 |
LX | 158 |
LXI | |
XI | 25 |
XII | 28 |
XIII | 32 |
XIV | 33 |
XV | 36 |
XVI | 38 |
XVII | 41 |
XVIII | 42 |
XIX | 44 |
XX | 47 |
XXI | 53 |
XXII | 58 |
XXIII | 60 |
XXIV | 65 |
XXV | 67 |
XXVI | i |
iv | |
XXVIII | v |
XXIX | viii |
XXX | 3 |
XXXI | 6 |
XXXII | 11 |
XXXIII | 13 |
XXXIV | 14 |
XXXV | 19 |
XXXVI | 20 |
XXXVII | 23 |
XXXVIII | 30 |
XXXIX | 33 |
XL | 36 |
XLI | 45 |
XLII | 52 |
XLIII | 64 |
XLIV | 69 |
XLV | 73 |
XLVI | 75 |
XLVII | 76 |
XLVIII | 78 |
XLIX | 83 |
L | 89 |
LI | 101 |
LII | 105 |
LIII | 108 |
LXIII | |
LXIV | 2 |
LXV | 6 |
LXVI | 7 |
LXVII | 12 |
LXVIII | 13 |
LXIX | 15 |
LXX | 21 |
LXXI | 25 |
LXXII | 31 |
LXXIII | 38 |
LXXIV | 45 |
LXXV | 59 |
LXXVI | 73 |
LXXVII | 77 |
LXXVIII | 78 |
LXXIX | 83 |
LXXX | 91 |
LXXXI | 96 |
LXXXII | 97 |
LXXXIII | 99 |
LXXXIV | 100 |
LXXXVI | 101 |
LXXXVIII | 102 |
LXXXIX | 103 |
XC | 104 |
XCI | 105 |
XCII | 106 |
XCIII | 107 |
XCIV | 109 |
XCV | 110 |
XCVI | 113 |
XCVII | 117 |
XCVIII | 119 |
XCIX | 122 |
CII | 124 |
CIII | 126 |
CIV | 129 |
CV | 133 |
CVI | 139 |
CVII | 142 |
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allele Alzheimer Alzheimer's disease amyloid ApoE apolipoprotein architecture array artificial behavior binary decision diagram biodule bits brain CAM-Brain CAM8 cell cellular automata cerebral cholinergic chromosome circuit clinical clock complex components computing configuration coordinates cortical criteria crossover deficits defined demented described diagnosis disorders electronic encoding environment evaluation evolution evolutionary evolutionary algorithms evolvable hardware Field-Programmable Gate Arrays fitness four-vectors FPGA frontal function gene Genetic Algorithms genome genotype impairment implemented individuals inertial system infarcts input lesions Lewy body Lewy body disease logic Lorentz transformation machine matrix memory modules mutation neural networks Neurology neurons neuropathological node onset output parallel pathology patients Pick's disease population possible prevalence problem protein receptors relative risk factors rules selection shows signal simulation space speed ẞ-amyloid stroke structure studies subcortical symptoms syndrome tion vascular dementia vector velocity white-matter