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Nature-Inspired Computing and Optimization

Overview of attention for book
Cover of 'Nature-Inspired Computing and Optimization'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Nature of Nature: Why Nature-Inspired Algorithms Work
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    Chapter 2 Multimodal Function Optimization Using an Improved Bat Algorithm in Noise-Free and Noisy Environments
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    Chapter 3 Multi-objective Ant Colony Optimisation in Wireless Sensor Networks
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    Chapter 4 Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence
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    Chapter 5 Limiting Distribution and Mixing Time for Genetic Algorithms
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    Chapter 6 Permutation Problems, Genetic Algorithms, and Dynamic Representations
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    Chapter 7 Hybridization of the Flower Pollination Algorithm—A Case Study in the Problem of Generating Healthy Nutritional Meals for Older Adults
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    Chapter 8 Nature-inspired Algorithm-based Optimization for Beamforming of Linear Antenna Array System
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    Chapter 9 Multi-Agent Optimization of Resource-Constrained Project Scheduling Problem Using Nature-Inspired Computing
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    Chapter 10 Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology
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    Chapter 11 Ant Colony Optimization for Semantic Searching of Distributed Dynamic Multiclass Resources
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    Chapter 12 Adaptive Virtual Topology Control Based on Attractor Selection
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    Chapter 13 CBO-Based TDR Approach for Wiring Network Diagnosis
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    Chapter 14 Morphological Filters: An Inspiration from Natural Geometrical Erosion and Dilation
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    Chapter 15 Brain Action Inspired Morphological Image Enhancement
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    Chapter 16 Path Generation for Software Testing: A Hybrid Approach Using Cuckoo Search and Bat Algorithm
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    Chapter 17 An Improved Spider Monkey Optimization for Solving a Convex Economic Dispatch Problem
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    Chapter 18 Chance-Constrained Fuzzy Goal Programming with Penalty Functions for Academic Resource Planning in University Management Using Genetic Algorithm
  20. Altmetric Badge
    Chapter 19 Swarm Intelligence: A Review of Algorithms
Attention for Chapter 10: Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology
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Mentioned by

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2 X users

Citations

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30 Dimensions

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6 Mendeley
Summary X Dimensions citations
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Chapter title
Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology
Chapter number 10
Book title
Nature-Inspired Computing and Optimization
Published in
Modeling and Optimization in Science and Technologies, March 2017
DOI 10.1007/978-3-319-50920-4_10
Book ISBNs
978-3-31-950919-8, 978-3-31-950920-4
Authors

Changhee Han, Kenji Tsuge, Hitoshi Iba

Editors

Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 33%
Researcher 1 17%
Student > Ph. D. Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Business, Management and Accounting 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 March 2017.
All research outputs
#17,012,522
of 25,992,468 outputs
Outputs from Modeling and Optimization in Science and Technologies
#1
of 1 outputs
Outputs of similar age
#197,399
of 324,067 outputs
Outputs of similar age from Modeling and Optimization in Science and Technologies
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 0 of them.
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 324,067 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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