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Evolvable Systems: From Biology to Hardware

Overview of attention for book
Cover of 'Evolvable Systems: From Biology to Hardware'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Measuring the Performance and Intrinsic Variability of Evolved Circuits
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    Chapter 2 An Efficient Selection Strategy for Digital Circuit Evolution
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    Chapter 3 Introducing Flexibility in Digital Circuit Evolution: Exploiting Undefined Values in Binary Truth Tables
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    Chapter 4 Evolving Digital Circuits Using Complex Building Blocks
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    Chapter 5 Fault Tolerance of Embryonic Algorithms in Mobile Networks
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    Chapter 6 Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network
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    Chapter 7 A New Method to Find Developmental Descriptions for Digital Circuits
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    Chapter 8 Sorting Network Development Using Cellular Automata
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    Chapter 9 Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO
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    Chapter 10 Evolving Object Detectors with a GPU Accelerated Vision System
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    Chapter 11 Systemic Computation Using Graphics Processors
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    Chapter 12 An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations
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    Chapter 13 Performance Evaluation and Scaling of a Multiprocessor Architecture Emulating Complex SNN Algorithms
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    Chapter 14 Evolution of Analog Circuit Models of Ion Channels
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    Chapter 15 HyperNEAT for Locomotion Control in Modular Robots
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    Chapter 16 The Use of Genetic Algorithm to Reduce Power Consumption during Test Application
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    Chapter 17 Designing Combinational Circuits with an Evolutionary Algorithm Based on the Repair Technique
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    Chapter 18 Bio-inspired Self-testing Configurable Circuits
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    Chapter 19 Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time
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    Chapter 20 Extrinsic Evolution of Fuzzy Systems Applied to Disease Diagnosis
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    Chapter 21 Automatic Code Generation on a MOVE Processor Using Cartesian Genetic Programming
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    Chapter 22 Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture
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    Chapter 23 A Self-reconfigurable FPGA-Based Platform for Prototyping Future Pervasive Systems
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    Chapter 24 The X2 Modular Evolutionary Robotics Platform
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    Chapter 25 Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems
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    Chapter 26 Implementation of a Power-Aware Dynamic Fault Tolerant Mechanism on the Ubichip Platform
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    Chapter 27 Automatic Synthesis of Lossless Matching Networks
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    Chapter 28 A Novel Approach to Multi-level Evolutionary Design Optimization of a MEMS Device
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    Chapter 29 From Binary to Continuous Gates – and Back Again
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    Chapter 30 Adaptive vs. Self-adaptive Parameters for Evolving Quantum Circuits
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    Chapter 31 Imitation Programming
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    Chapter 32 EvoFab: A Fully Embodied Evolutionary Fabricator
  34. Altmetric Badge
    Chapter 33 Evolving Physical Self-assembling Systems in Two-Dimensions
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
3 Mendeley
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Title
Evolvable Systems: From Biology to Hardware
Published by
ADS, September 2010
DOI 10.1007/978-3-642-15323-5
ISBNs
978-3-64-215322-8, 978-3-64-215323-5
Editors

Tempesti, Gianluca, Tyrrell, Andy M., Miller, Julian F.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 3 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 August 2021.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from ADS
#9,313
of 37,451 outputs
Outputs of similar age
#34,531
of 95,941 outputs
Outputs of similar age from ADS
#133
of 377 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 95,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 377 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.