UID:
almahu_9948621656702882
Format:
XVI, 195 p.
,
online resource.
Edition:
1st ed. 2004.
ISBN:
9783642186097
Series Statement:
Natural Computing Series,
Content:
At the beginning of the 1990s research started in how to combine soft comput ing with reconfigurable hardware in a quite unique way. One of the methods that was developed has been called evolvable hardware. Thanks to evolution ary algorithms researchers have started to evolve electronic circuits routinely. A number of interesting circuits - with features unreachable by means of con ventional techniques - have been developed. Evolvable hardware is quite pop ular right now; more than fifty research groups are spread out over the world. Evolvable hardware has become a part of the curriculum at some universi ties. Evolvable hardware is being commercialized and there are specialized conferences devoted to evolvable hardware. On the other hand, surprisingly, we can feel the lack of a theoretical background and consistent design methodology in the area. Furthermore, it is quite difficult to implement really innovative and practically successful evolvable systems using contemporary digital reconfigurable technology.
Note:
1 Introduction -- 1.1 Natural Computing -- 1.2 Bioinspired Hardware -- 1.3 Motivation for Research -- 2 Reconfigurable Hardware -- 2.1 Digital Cicuits -- 2.2 Digital Circuit Design -- 2.3 Field Programmable Gate arrays -- 2.4 Hardware Reused as Software -- 2.5 Reconfigurable Computing -- 2.6 Nanotechnology -- 2.7 Cell Matrix -- 2.8 Summary -- 3 Evolutionary Algorithms -- 3.1 Introduction -- 3.2 Variant of Evolutionary Algorithms -- 3.3 Some Other Features of Evolutionary Algorithms -- 3.4 Evolutionary Design and Optimization -- 3.5 The Evolutionary Algorithm Design -- 3.6 Formal Approach -- 3.7 Summary -- 4 Evolvable Hardware -- 4.1 Basic Concept -- 4.2 Cartesian Genetic Programming -- 4.3 Features of Cartesian Genetic Programming -- 4.4 From Chromosome to Fitness Value -- 4.5 Fitness Function -- 4.6 Applications and Degree of Hardware Implementation -- 4.7 Promising Results -- 4.8 Major Current Problems and Potential Solutions -- 4.9 Summary -- 5 Towards Evolvable Components -- 5.1 Component Approach to Problem Solving -- 5.2 Evolvable Components -- 5.3 Hardware Implementation -- 5.4 Extension of Evolvable Components -- 5.5 Summary -- 6 Evolvable Computational Machines -- 6.1 Computational Machines and Evolutionary Design -- 6.2 Cellular Automata -- 6.3 General Evolvable Computational Machine -- 6.4 Dynamic Environment -- 6.5 Evolvable Computational System -- 6.6 Properties of Evolvable Machines -- 6.7 The Computational Power -- 6.8 Summary -- 7 An Evolvable Component for Image Pre-processing -- 7.1 Motivation and Problem Specification -- 7.2 The Image Filter Design -- 7.3 Analysis of Reconfigurability and Size of the Search Space -- 7.4 Evolutionary Design: Experimental Framework -- 7.5 Filters for Smoothing -- 7.6 Other Image Operators -- 7.7 Dynamics Environment -- 7.8 A Note on a Single Filter Design -- 7.9 Summary -- Virtual Reconfigurable Devices -- 8.1 Chip on Top of a Chip -- 8.2 Architecture of Virtual Reconfigurable Circuits -- 8.3 Implementation Costs -- 8.4 Speeding up the Evolutionary Design -- 8.5 Genetic Unit -- 8.6 Physical Realization -- 8.7 Discussion -- 8.8 Summary -- 9 Concluding Statements -- 9.1 The Approach -- 9.2 The Obtained Results -- 9.3 Future Work -- References.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783642621963
Additional Edition:
Printed edition: ISBN 9783540403777
Additional Edition:
Printed edition: ISBN 9783642186103
Language:
English
DOI:
10.1007/978-3-642-18609-7
URL:
https://doi.org/10.1007/978-3-642-18609-7
