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Intelligent and Evolutionary Systems

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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
Attention for Chapter 25: B-Spline Curve Knot Estimation by Using Niched Pareto Genetic Algorithm (NPGA)
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Chapter title
B-Spline Curve Knot Estimation by Using Niched Pareto Genetic Algorithm (NPGA)
Chapter number 25
Book title
Intelligent and Evolutionary Systems
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-27000-5_25
Book ISBNs
978-3-31-926999-3, 978-3-31-927000-5
Authors

Vahit Tongur, Erkan Ülker

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Mathematics 2 50%
Computer Science 1 25%
Chemistry 1 25%