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Progress in Artificial Life

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Cover of 'Progress in Artificial Life'

Table of Contents

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    Book Overview
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    Chapter 1 Alternative Solution Representations for the Job Shop Scheduling Problem in Ant Colony Optimisation
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    Chapter 2 Analyzing the Role of “Smart” Start Points in Coarse Search-Greedy Search
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    Chapter 3 Concealed Contributors to Result Quality — The Search Process of Ant Colony System
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    Chapter 4 Ants Guide Future Pilots
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    Chapter 5 Information Transfer by Particles in Cellular Automata
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    Chapter 6 An Artificial Development Model for Cell Pattern Generation
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    Chapter 7 Rounds Effect in Evolutionary Games
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    Chapter 8 Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction
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    Chapter 9 An Evolutionary Benefit from Misperception in Foraging Behaviour
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    Chapter 10 Simulated Evolution of Discourse with Coupled Recurrent Networks
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    Chapter 11 How Different Hierarchical Relationships Impact Evolution
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    Chapter 12 A Dual Phase Evolution Model of Adaptive Radiation in Landscapes
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    Chapter 13 Directed Evolution of an Artificial Cell Lineage
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    Chapter 14 An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity
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    Chapter 15 Complement-Based Self-Replicated, Self-Assembled Systems (CBSRSAS)
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    Chapter 16 Self-maintained Movements of Droplets with Convection Flow
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    Chapter 17 Structural Circuits and Attractors in Kauffman Networks
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    Chapter 18 The Effects of Learning on the Roles of Chance, History and Adaptation in Evolving Neural Networks
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    Chapter 19 Unsupervised Acoustic Classification of Bird Species Using Hierarchical Self-organizing Maps
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    Chapter 20 The Prisoner’s Dilemma with Image Scoring on Networks: How Does a Player’s Strategy Depend on Its Place in the Social Network?
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    Chapter 21 Population-Based Ant Colony Optimisation for Multi-objective Function Optimisation
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    Chapter 22 Mechanisms for Evolutionary Reincarnation
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    Chapter 23 An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization
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    Chapter 24 Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering
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    Chapter 25 A Framework for the Co-evolution of Genes, Proteins and a Genetic Code Within an Artificial Chemistry Reaction Set
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    Chapter 26 In-Formation Flocking: An Approach to Data Visualization Using Multi-agent Formation Behavior
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    Chapter 27 A Principled Approach to Swarm-Based Wall-Building
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    Chapter 28 Pattern Extraction Improves Automata-Based Syntax Analysis in Songbirds
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    Chapter 29 A Modified Strategy for the Constriction Factor in Particle Swarm Optimization
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    Chapter 30 A Differential Evolution Variant of NSGA II for Real World Multiobjective Optimization
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    Chapter 31 Investigating a Hybrid Metaheuristic for Job Shop Rescheduling
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    Chapter 32 Enhancements to Extremal Optimisation for Generalised Assignment
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    Chapter 33 Identification of Marker Genes Discriminating the Pathological Stages in Ovarian Carcinoma by Using Support Vector Machine and Systems Biology
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    Chapter 34 Ancestral DNA Sequence Reconstruction Using Recursive Genetic Algorithms
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Title
Progress in Artificial Life
Published by
Springer, January 2007
DOI 10.1007/978-3-540-76931-6
ISBNs
978-3-54-076930-9, 978-3-54-076931-6
Authors

Randall, Marcus, Abbass, Hussein A, Wiles, Janet

Editors

Marcus Randall, Hussein A. Abbass, Janet Wiles

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Portugal 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 44%
Professor 3 19%
Student > Ph. D. Student 3 19%
Student > Bachelor 1 6%
Researcher 1 6%
Other 1 6%
Readers by discipline Count As %
Engineering 8 50%
Computer Science 3 19%
Business, Management and Accounting 1 6%
Environmental Science 1 6%
Physics and Astronomy 1 6%
Other 1 6%
Unknown 1 6%