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Artificial Life and Computational Intelligence

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Cover of 'Artificial Life and Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Extending the Delaunay Triangulation Based Density Measurement to Many-Objective Optimization
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    Chapter 2 Emotion, Trustworthiness and Altruistic Punishment in a Tragedy of the Commons Social Dilemma
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    Chapter 3 Equity Option Strategy Discovery and Optimization Using a Memetic Algorithm
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    Chapter 4 Co-Evolving Line Drawings with Hierarchical Evolution
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    Chapter 5 Reliability Estimation of Individual Multi-target Regression Predictions
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    Chapter 6 Feedback Modulated Attention Within a Predictive Framework
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    Chapter 7 A Batch Infill Strategy for Computationally Expensive Optimization Problems
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    Chapter 8 Automatic Clustering and Summarisation of Microblogs: A Multi-subtopic Phrase Reinforcement Algorithm
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    Chapter 9 Generation and Exploration of Architectural Form Using a Composite Cellular Automata
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    Chapter 10 Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming
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    Chapter 11 Surrogate-Assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils
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    Chapter 12 Applying Dependency Patterns in Causal Discovery of Latent Variable Models
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    Chapter 13 An Evolutionary Multi-criteria Journey Planning Algorithm for Multimodal Transportation Networks
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    Chapter 14 Estimating Passenger Preferences Using Implicit Relevance Feedback for Personalized Journey Planning
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    Chapter 15 Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences
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    Chapter 16 A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance
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    Chapter 17 Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN
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    Chapter 18 Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution
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    Chapter 19 Detectable Genetic Algorithms-Based Techniques for Solving Dynamic Optimisation Problem with Unknown Active Variables
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    Chapter 20 Neighbourhood Analysis: A Case Study on Google Machine Reassignment Problem
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    Chapter 21 Multi-objective Optimisation with Multiple Preferred Regions
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    Chapter 22 An Adaptive Memetic Algorithm for the Architecture Optimisation Problem
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    Chapter 23 Resource Constrained Job Scheduling with Parallel Constraint-Based ACO
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    Chapter 24 An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints
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    Chapter 25 A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization
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    Chapter 26 Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown
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    Chapter 27 Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution
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    Chapter 28 A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling
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    Chapter 29 Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution
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    Chapter 30 CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed Bandits
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    Chapter 31 Binary PSO for Web Service Location-Allocation
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    Chapter 32 A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment
Attention for Chapter 15: Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences
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Chapter title
Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences
Chapter number 15
Book title
Artificial Life and Computational Intelligence
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-51691-2_15
Book ISBNs
978-3-31-951690-5, 978-3-31-951691-2
Authors

Muhammad Sohaib, Jong-Myon Kim

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 1 33%
Other 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%