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Ant Colony Optimization and Swarm Intelligence

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Cover of 'Ant Colony Optimization and Swarm Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions
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    Chapter 2 A Framework and Model for Soft Routing: The Markovian Termite and Other Curious Creatures
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    Chapter 3 A Stochastic Traffic Assignment Algorithm Based on Ant Colony Optimisation
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    Chapter 4 An Analysis of the Different Components of the AntHocNet Routing Algorithm
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    Chapter 5 An Energy-Efficient Ant-Based Routing Algorithm for Wireless Sensor Networks
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    Chapter 6 An Enhanced Aggregation Pheromone System for Real-Parameter Optimization in the ACO Metaphor
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    Chapter 7 An Estimation of Distribution Particle Swarm Optimization Algorithm
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    Chapter 8 Ant-Based Approach to the Knowledge Fusion Problem
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    Chapter 9 Beam-ACO Applied to Assembly Line Balancing
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    Chapter 10 Boundary Search for Constrained Numerical Optimization Problems in ACO Algorithms
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    Chapter 11 Chain Based Path Formation in Swarms of Robots
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    Chapter 12 Communication, Leadership, Publicity and Group Formation in Particle Swarms
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    Chapter 13 Covering a Continuous Domain by Distributed, Limited Robots
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    Chapter 14 Incremental Local Search in Ant Colony Optimization: Why It Fails for the Quadratic Assignment Problem
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    Chapter 15 Individual Discrimination Capability and Collective Choice in Social Insects
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    Chapter 16 Iterated Ants: An Experimental Study for the Quadratic Assignment Problem
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    Chapter 17 Negotiation of Goal Direction for Cooperative Transport
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    Chapter 18 On $\cal M\!AX\!$ – $\cal MI\!N\!$ Ant System’s Parameters
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    Chapter 19 On the Invariance of Ant System
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    Chapter 20 Parallel Ant Colony Optimization for the Traveling Salesman Problem
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    Chapter 21 Placement Constraints and Macrocell Overlap Removal Using Particle Swarm Optimization
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    Chapter 22 PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design
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    Chapter 23 Rendezvous of Glowworm-Inspired Robot Swarms at Multiple Source Locations: A Sound Source Based Real-Robot Implementation
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    Chapter 24 Replicating Multi-quality Web Applications Using ACO and Bipartite Graphs
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    Chapter 25 Restoration Performance vs. Overhead in a Swarm Intelligence Path Management System
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    Chapter 26 Solving a Bi-objective Flowshop Scheduling Problem by Pareto-Ant Colony Optimization
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    Chapter 27 Traffic Patterns and Flow Characteristics in an Ant Trail Model
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    Chapter 28 A Continuous Particle Swarm Optimization Algorithm for Uncapacitated Facility Location Problem
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    Chapter 29 A Direct Application of Ant Colony Optimization to Function Optimization Problem in Continuous Domain
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    Chapter 30 A Parallel ACO Approach Based on One Pheromone Matrix
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    Chapter 31 An ACO-Based Clustering Algorithm
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    Chapter 32 An Adaptive Search Heuristic for the Capacitated Fixed Charge Location Problem
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    Chapter 33 An Ant Colony System for the Open Vehicle Routing Problem
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    Chapter 34 An Ant-Based Approach to Color Reduction
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    Chapter 35 An Orthogonal Search Embedded Ant Colony Optimization Approach to Continuous Function Optimization
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    Chapter 36 Ant Based Mechanism for Crisis Response Coordination
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    Chapter 37 Autonomous Gossiping of Information in a P2P Network with Artificial Ants
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    Chapter 38 Cooperative VLSI Tiled Architectures: Stigmergy in a Swarm Coprocessor
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    Chapter 39 Distributed Shortest-Path Finding by a Micro-robot Swarm
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    Chapter 40 Fleet Maintenance Scheduling with an Ant Colony System Approach
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    Chapter 41 Geoacoustic Inversion and Uncertainty Analysis with $\mathcal{MAX-MIN}$ Ant System
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    Chapter 42 Ant Colony Optimization and Swarm Intelligence
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    Chapter 43 Hybrid Particle Swarm Optimization: An Examination of the Influence of Iterative Improvement Algorithms on Performance
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    Chapter 44 Introducing a Binary Ant Colony Optimization
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    Chapter 45 Kernelization as Heuristic Structure for the Vertex Cover Problem
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    Chapter 46 Minimizing Total Earliness and Tardiness Penalties with a Common Due Date on a Single-Machine Using a Discrete Particle Swarm Optimization Algorithm
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    Chapter 47 Model Selection for Support Vector Machines Using Ant Colony Optimization in an Electronic Nose Application
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    Chapter 48 On the Popularization of Artificial Insects: An Interactive Exhibition for a Wide Audience to Explain and Demonstrate Computer Science and Robotic Problem Solving Taking Inspiration of Insects
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    Chapter 49 Ant Colony Optimization and Swarm Intelligence
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    Chapter 50 Some Experiments with Ant Colony Algorithms for the Exam Timetabling Problem
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    Chapter 51 A Search Ant and Labor Ant Algorithm for Clustering Data
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    Chapter 52 ACO Applied to Switch Engine Scheduling in a Railroad Yard
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    Chapter 53 ACO for Continuous Optimization Based on Discrete Encoding
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    Chapter 54 Applying Aspects of Multi-robot Search to Particle Swarm Optimization
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    Chapter 55 Applying Multiple Ant Colony System to Solve Single Source Capacitated Facility Location Problem
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    Chapter 56 Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization
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    Chapter 57 Evolution in Swarm Intelligence: An Evolutionary Ant-Based Optimization Algorithm
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    Chapter 58 Extending the Particle Swarm Algorithm to Model Animal Foraging Behaviour
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    Chapter 59 Particle Swarm Optimization for Facility Layout Problems With/Out Department-Specific Restrictions
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    Chapter 60 Self-organized and Social Models of Criminal Activity in Urban Environments
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    Chapter 61 Traffic Lights Control with Adaptive Group Formation Based on Swarm Intelligence
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    Chapter 62 Using Pheromone Repulsion to Find Disjoint Paths
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Title
Ant Colony Optimization and Swarm Intelligence
Published by
Springer, Berlin, Heidelberg, January 2006
DOI 10.1007/11839088
ISBNs
978-3-54-038482-3, 978-3-54-038483-0
Editors

Marco Dorigo, Luca Maria Gambardella, Mauro Birattari, Alcherio Martinoli, Riccardo Poli, Thomas Stützle

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Poland 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 10%
Student > Bachelor 2 4%
Student > Master 1 2%
Unknown 43 84%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 6%
Computer Science 2 4%
Business, Management and Accounting 1 2%
Chemistry 1 2%
Engineering 1 2%
Other 0 0%
Unknown 43 84%

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