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E-grāmata: Progress in Artificial Life: Third Australian Conference, ACAL 2007 Gold Coast, Australia, December 4-6, 2007 Proceedings

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Artificial Intelligence 4828
  • Izdošanas datums: 06-Nov-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540769316
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Progress in Artificial Life: Third Australian Conference, ACAL 2007 Gold Coast, Australia, December 4-6, 2007 ProceedingsPalielināt
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Artificial Intelligence 4828
  • Izdošanas datums: 06-Nov-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540769316
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This book constitutes the refereed proceedings of the Third Australian Conference on Artificial Life, ACAL 2007, held in Gold Coast, Australia, in December 2007.The 34 revised full papers presented were carefully reviewed and selected from 70 submissions. Research in Alife covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems. Thus, Alife features analyses and understanding of life and nature and helps modeling biological systems or solving biological problems. The papers are organized in topical sections on heuristics, complex systems, evolution, biological systems, and networks.
Heuristics I.- Alternative Solution Representations for the Job Shop
Scheduling Problem in Ant Colony Optimisation.- Analyzing the Role of Smart
Start Points in Coarse Search-Greedy Search.- Concealed Contributors to
Result Quality The Search Process of Ant Colony System.- Ants Guide Future
Pilots.- Complex Systems I.- Information Transfer by Particles in Cellular
Automata.- An Artificial Development Model for Cell Pattern Generation.-
Rounds Effect in Evolutionary Games.- Modelling Architectural Visual
Experience Using Non-linear Dimensionality Reduction.- An Evolutionary
Benefit from Misperception in Foraging Behaviour.- Simulated Evolution of
Discourse with Coupled Recurrent Networks.- How Different Hierarchical
Relationships Impact Evolution.- A Dual Phase Evolution Model of Adaptive
Radiation in Landscapes.- Biological Systems I.- Directed Evolution of an
Artificial Cell Lineage.- An Integrated QAP-Based Approach to Visualize
Patterns of Gene Expression Similarity.- Complement-Based Self-Replicated,
Self-Assembled Systems (CBSRSAS).- Self-maintained Movements of Droplets with
Convection Flow.- Structural Circuits and Attractors in Kauffman Networks.-
The Effects of Learning on the Roles of Chance, History and Adaptation in
Evolving Neural Networks.- Unsupervised Acoustic Classification of Bird
Species Using Hierarchical Self-organizing Maps.- The Prisoners Dilemma with
Image Scoring on Networks: How Does a Players Strategy Depend on Its Place
in the Social Network?.- Heuristics II.- Population-Based Ant Colony
Optimisation for Multi-objective Function Optimisation.- Mechanisms for
Evolutionary Reincarnation.- An Evolutionary Algorithm with Spatially
Distributed Surrogates for Multiobjective Optimization.- Examining
Dissimilarity Scaling in AntColony Approaches to Data Clustering.- Complex
Systems II.- A Framework for the Co-evolution of Genes, Proteins and a
Genetic Code Within an Artificial Chemistry Reaction Set.- In-Formation
Flocking: An Approach to Data Visualization Using Multi-agent Formation
Behavior.- A Principled Approach to Swarm-Based Wall-Building.- Pattern
Extraction Improves Automata-Based Syntax Analysis in Songbirds.- Heuristics
III.- A Modified Strategy for the Constriction Factor in Particle Swarm
Optimization.- A Differential Evolution Variant of NSGA II for Real World
Multiobjective Optimization.- Investigating a Hybrid Metaheuristic for Job
Shop Rescheduling.- Enhancements to Extremal Optimisation for Generalised
Assignment.- Biological Systems II.- Identification of Marker Genes
Discriminating the Pathological Stages in Ovarian Carcinoma by Using Support
Vector Machine and Systems Biology.- Ancestral DNA Sequence Reconstruction
Using Recursive Genetic Algorithms.
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