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Intelligent and Evolutionary Systems

Overview of attention for book
Cover of 'Intelligent and Evolutionary Systems'

Table of Contents

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    Book Overview
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    Chapter 1 An Experimental Analysis of a Robust Pheromone-Based Algorithm for the Patrolling Problem
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    Chapter 2 An Improved Evacuation Guidance System Based on Ant Colony Optimization
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    Chapter 3 Computational Models Based on Forgiveness Mechanism for Untrustworthy Agents
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    Chapter 4 A New Adaptive Genetic Algorithm for Community Structure Detection
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    Chapter 5 A Logical Model of Communication Channels
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    Chapter 6 A New Approach for Wrapper Feature Selection Using Genetic Algorithm for Big Data
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    Chapter 7 An Enhanced Univariate Discretization Based on Cluster Ensembles
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    Chapter 8 Recursive Binary Tube Partitioning for Classification
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    Chapter 9 Extreme-Centroid Tree for Outlier Detection
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    Chapter 10 Gaussian Fuzzy Integral Based Classification
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    Chapter 11 Predicting Duration of CKD Progression in Patients with Hypertension and Diabetes
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    Chapter 12 Prediction of Student Dropout Using Personal Profile and Data Mining Approach
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    Chapter 13 The Optimization of Parallel DBN Based on Spark
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    Chapter 14 Predicting Potential Retweeters for a Microblog on Twitter
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    Chapter 15 An Implementation of Tree-Seed Algorithm (TSA) for Constrained Optimization
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    Chapter 16 Utilization of Bat Algorithm for Solving Uncapacitated Facility Location Problem
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    Chapter 17 Implementation of Bat Algorithm on 2D Strip Packing Problem
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    Chapter 18 Base Hybrid Approach for TSP Based on Neural Networks and Ant Colony Optimization
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    Chapter 19 The Analysis of Migrating Birds Optimization Algorithm with Neighborhood Operator on Traveling Salesman Problem
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    Chapter 20 Solving the IEEE CEC 2015 Dynamic Benchmark Problems Using Kalman Filter Based Dynamic Multiobjective Evolutionary Algorithm
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    Chapter 21 Ideation Support Based on Infomorphism for Designing Beneficial Inconvenience
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    Chapter 22 A Solution to the Cold-Start Problem in Recommender Systems Based on Social Choice Theory
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    Chapter 23 Named Entity Recognition Through Learning from Experts
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    Chapter 24 A Decision-Support Tool for Humanitarian Logistics
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    Chapter 25 B-Spline Curve Knot Estimation by Using Niched Pareto Genetic Algorithm (NPGA)
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    Chapter 26 Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition
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    Chapter 27 Intelligent and Evolutionary Systems
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    Chapter 28 Empirical Analysis of Mobile Augmented Reality Games for Engaging Users’ Experience
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    Chapter 29 Automated Differential Evolution for Solving Dynamic Economic Dispatch Problems
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    Chapter 30 An Agent-Based Model of Smart Supply Chain Networks
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    Chapter 31 Low Cost Parking Space Management System
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    Chapter 32 Campus Access Control and Management System
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    Chapter 33 Lip-Reading: Toward Phoneme Recognition Through Lip Kinematics
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    Chapter 34 Object Matching Using Speeded Up Robust Features
Overall attention for this book and its chapters
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Mentioned by

7 tweeters
1 Facebook page

Readers on

109 Mendeley
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Intelligent and Evolutionary Systems
Published by
Springer International Publishing, November 2015
DOI 10.1007/978-3-319-27000-5
978-3-31-926999-3, 978-3-31-927000-5

Lavangnananda, Kittichai, Phon-Amnuaisuk, Somnuk, Engchuan, Worrawat, Chan, Jonathan H.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 108 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Student > Master 21 19%
Student > Doctoral Student 12 11%
Researcher 10 9%
Student > Bachelor 5 5%
Other 14 13%
Unknown 18 17%
Readers by discipline Count As %
Computer Science 36 33%
Engineering 31 28%
Business, Management and Accounting 9 8%
Medicine and Dentistry 2 2%
Physics and Astronomy 2 2%
Other 5 5%
Unknown 24 22%