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Swarm Intelligence

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Cover of 'Swarm Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 A Particle Swarm Embedding Algorithm for Nonlinear Dimensionality Reduction
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    Chapter 2 ABC-Miner: An Ant-Based Bayesian Classification Algorithm
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    Chapter 3 Analysing Robot Swarm Decision-Making with Bio-PEPA
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    Chapter 4 Automatic Generation of Multi-objective ACO Algorithms for the Bi-objective Knapsack
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    Chapter 5 Bare Bones Particle Swarms with Jumps
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    Chapter 6 Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem
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    Chapter 7 Improving the cAnt-MinerPB Classification Algorithm
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    Chapter 8 Introducing Novelty Search in Evolutionary Swarm Robotics
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    Chapter 9 Measuring Diversity in the Cooperative Particle Swarm Optimizer
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    Chapter 10 Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics
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    Chapter 11 Scalability Study of Particle Swarm Optimizers in Dynamic Environments
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    Chapter 12 Self-reconfigurable Modular e-pucks
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    Chapter 13 Task Partitioning via Ant Colony Optimization for Distributed Assembly
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    Chapter 14 The Self-adaptive Comprehensive Learning Particle Swarm Optimizer
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    Chapter 15 Towards Swarm Calculus: Universal Properties of Swarm Performance and Collective Decisions
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    Chapter 16 A Hybrid Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem
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    Chapter 17 A Self-adaptive Heterogeneous PSO Inspired by Ants
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    Chapter 18 A “Thermodynamic” Approach to Multi-robot Cooperative Localization with Noisy Sensors
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    Chapter 19 AcoSeeD: An Ant Colony Optimization for Finding Optimal Spaced Seeds in Biological Sequence Search
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    Chapter 20 Analysis of Ant-Based Routing with Wireless Medium Access Control
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    Chapter 21 Ant-Based Approaches for Solving Autocorrelation Problems
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    Chapter 22 Collision-Induced “Priority Rule” Governs Efficiency of Pheromone-Communicating Swarm Robots
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    Chapter 23 Dynamic Load Balancing Inspired by Cemetery Formation in Ant Colonies
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    Chapter 24 Feasibility of an Ant Colony Optimization Algorithm for Multi-leaf Collimator (MLC) Aperture Definition and Beam Weighting in Volumetric Modulated Arc Therapy (VMAT) Radiotherapy Treatment Planning
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    Chapter 25 Formica ex Machina: Ant Swarm Foraging from Physical to Virtual and Back Again
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    Chapter 26 Improving Peer Review with ACORN: ACO Algorithm for Reviewer’s Network
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    Chapter 27 Learning Finite-State Machines with Ant Colony Optimization
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    Chapter 28 Mobbing Behavior and Deceit and Its Role in Bio-inspired Autonomous Robotic Agents
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    Chapter 29 Performance of Bacterial Foraging Optimization in Dynamic Environments
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    Chapter 30 Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms
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    Chapter 31 Probabilistic Stochastic Diffusion Search
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    Chapter 32 Self-organized Clustering of Square Objects by Multiple Robots
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    Chapter 33 Self-reproduction versus Transition Rules in Ant Colonies for Medical Volume Segmentation
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    Chapter 34 Swarm Interpolation Using an Approximate Chebyshev Distribution
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    Chapter 35 Using MOPSO to Solve Multiobjective Bilevel Linear Problems
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    Chapter 36 Clustering Moodle Data via Ant Colony Optimization
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    Chapter 37 Swarm Intelligence
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    Chapter 38 Exploring Different Functions for Heuristics, Discretization, and Rule Quality Evaluation in Ant-Miner
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    Chapter 39 Fuzzy-Based Aggregation with a Mobile Robot Swarm
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    Chapter 40 Maturity of the Particle Swarm as a Metric for Measuring the Particle Swarm Intelligence
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    Chapter 41 Multi-objective Firefly Algorithm for Energy Optimization in Grid Environments
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    Chapter 42 Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems
Attention for Chapter 8: Introducing Novelty Search in Evolutionary Swarm Robotics
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Chapter title
Introducing Novelty Search in Evolutionary Swarm Robotics
Chapter number 8
Book title
Swarm Intelligence
Published by
Springer, Berlin, Heidelberg, September 2012
DOI 10.1007/978-3-642-32650-9_8
Book ISBNs
978-3-64-232649-3, 978-3-64-232650-9
Authors

Jorge Gomes, Paulo Urbano, Anders Lyhne Christensen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 12%
Norway 1 6%
Unknown 14 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 5 29%
Professor > Associate Professor 2 12%
Researcher 2 12%
Lecturer 1 6%
Other 2 12%
Readers by discipline Count As %
Computer Science 10 59%
Engineering 6 35%
Biochemistry, Genetics and Molecular Biology 1 6%