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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 Evolutionary Optimization Approach for Path Planning of Arrival Aircraft for Optimal Sequencing
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    Chapter 2 A Game-Theoretic Approach to the Analysis of Traffic Assignment
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    Chapter 3 Impact of ALife Simulation of Darwinian and Lamarckian Evolutionary Theories
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    Chapter 4 A Local Search Algorithm for Saving Energy Cost in Duty-Cycle Wireless Sensor Network
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    Chapter 5 Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization
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    Chapter 6 Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach
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    Chapter 7 Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression
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    Chapter 8 The Convolutional Neural Network Model Based on an Evolutionary Approach For Interactive Picture Book
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    Chapter 9 Semi-automatic Picture Book Generation Based on Story Model and Agent-Based Simulation
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    Chapter 10 Where Does My Brand End? An Overlapping Community Approach
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    Chapter 11 Analysis of Parameter-Less Population Pyramid on the Local Distribution of Inferior Individuals
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    Chapter 12 Integrating Class Information and Features in Cluster Analysis Based on Evolutionary Distance Metric Learning
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    Chapter 13 Multiple Additional Sampling by Expected Improvement Maximization in Efficient Global Optimization for Real-World Design Problems
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    Chapter 14 Dynamic Job Shop Scheduling Under Uncertainty Using Genetic Programming
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    Chapter 15 Similarity Analysis of Survey on Employment Trends in Japan
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    Chapter 16 On Deriving a Relationship Between Complexity and Fidelity in Rule Based Multi-agent Systems
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    Chapter 17 Feature Construction Using Genetic Programming for Figure-Ground Image Segmentation
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    Chapter 18 Estimation of Distribution Algorithms with Graph Kernels for Graphs with Node Types
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    Chapter 19 Generating Hub-Spoke Network for Public Transportation: Comparison Between Genetic Algorithm and Cuckoo Search Algorithm
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    Chapter 20 Randomising Block Sizes for BlockCopy-Based Wind Farm Layout Optimisation
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    Chapter 21 Optimization of Aircraft Landing Route and Order Based on Novelty Search
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    Chapter 22 Design Strategy Generation for a Sounding Hybrid Rocket via Evolutionary Rule-Based Data Mining System
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    Chapter 23 A Novel Binary Particle Swarm Optimization Algorithm and Its Applications on Knapsack and Feature Selection Problems
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    Chapter 24 Particle Swarm Optimization for Yard Truck Scheduling in Container Terminal with a Cooperative Strategy
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    Chapter 25 A Method to Reduce the Amount of Inventoried Stock in Thai Supply Chain
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    Chapter 26 Increasing Stability of Human Interaction Against Time Delay on Perceptual Crossing Experiment
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    Chapter 27 Differential Evolution with Landscape-Based Operator Selection for Solving Numerical Optimization Problems
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    Chapter 28 The Effect of Word-of-Mouth in U-Mart Artificial Futures Market
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    Chapter 29 Multiple Imputation and Ensemble Learning for Classification with Incomplete Data
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    Chapter 30 CMA-ES with Surrogate Model Adapting to Fitness Landscape
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    Chapter 31 An Evolutionary Simulating Annealing Algorithm for Google Machine Reassignment Problem
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    Chapter 32 Mobile Agent Based Obstacle Avoidance in Multi-robot Hunting
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    Chapter 33 Communication-Less Cooperative Q-Learning Agents in Maze Problem
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    Chapter 34 Autonomous Task Allocation for Swarm Robotic Systems Using Behavioral Decomposition
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    Chapter 35 Acquisition of Cooperative Action by Rescue Agents with Distributed Roles
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    Chapter 36 An Evolutionary Framework for Bi-objective Dynamic Economic and Environmental Dispatch Problems
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Intelligent and Evolutionary Systems
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-49049-6
978-3-31-949048-9, 978-3-31-949049-6

George Leu, Hemant Kumar Singh, Saber Elsayed

Twitter Demographics

The data shown below were collected from the profiles of 3 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 5%
Researcher 2 2%
Student > Bachelor 1 1%
Unknown 80 92%
Readers by discipline Count As %
Engineering 4 5%
Computer Science 2 2%
Neuroscience 1 1%
Unknown 80 92%