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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
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Artificial Life and Computational Intelligence
Published by
Springer International Publishing, December 2016
DOI 10.1007/978-3-319-51691-2
978-3-31-951690-5, 978-3-31-951691-2

Markus Wagner, Xiaodong Li, Tim Hendtlass

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 5%
Student > Doctoral Student 1 2%
Student > Bachelor 1 2%
Unknown 54 92%
Readers by discipline Count As %
Computer Science 2 3%
Earth and Planetary Sciences 1 2%
Psychology 1 2%
Design 1 2%
Unknown 54 92%