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This book constitutes the refereed proceedings of the 5th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2006, held in Brussels, Belgium, in September 2006. The 27 revised full papers, 23 revised short papers, and 12 extended abstracts presented were carefully reviewed and selected from 115 submissions. The papers are devoted to theoretical and foundational aspects of ant algorithms, evolutionary optimization, ant colony optimization, and swarm intelligence and deal with a broad variety of optimization applications in networking, operations research, multiagent systems, robot systems, networking, etc.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, held in Brussels, Belgium in September 2004. The 22 revised full papers, 19 revised short papers, and 9 poster abstracts presented were carefully reviewed and selected from 79 papers submitted. The papers are devoted to theoretical and foundational aspects of ant algorithms, ant colony optimization and swarm intelligence and deal with a broad variety of optimization applications in networking and operations research.
(source: Nielsen Book Data)

• A Graph-Based Developmental Swarm Representation and Algorithm
• A Graph-Based Developmental Swarm Representation and Algorithm
• A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of Higher-Order Tensors
• A Robotic Validation of the Attractive Field Model: An Inter-disciplinary Model of Self-regulatory Social Systems
• A Thermodynamic Approach to the Analysis of Multi-robot Cooperative Localization under Independent Errors
• An Alternative ACO Algorithm for Continuous Optimization Problems
• An Efficient Optimization Method for Revealing Local Optima of Projection Pursuit Indices
• Ant Colony Optimisation for Ligand Docking
• Antbots: A Feasible Visual Emulation of Pheromone Trails for Swarm Robots
• Automatic Configuration of Multi-Objective ACO Algorithms
• Autonomous Morphogenesis in Self-assembling Robots Using IR-Based Sensing and Local Communications
• Autonomous Multi-agent Cycle Based Patrolling
• Biologically Realistic Primitives for Engineered Morphogenesis
• Evaluating the Robustness of Activator-Inhibitor Models for Cluster Head Computation
• Evolution of Self-organised Path Formation in a Swarm of Robots
• Extensions to the Ant-Miner Classification Rule Discovery Algorithm
• Functional Blueprints: An Approach to Modularity in Grown Systems
• Heterogeneous Particle Swarm Optimization
• Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters
• Multi-agent Deployment on a Ring Graph
• Multi-Swarm Optimization for Dynamic Combinatorial Problems: A Case Study on Dynamic Vehicle Routing Problem
• Off-line vs. On-line Tuning: A Study on Ant System for the TSP
• Opinion Dynamics for Decentralized Decision-Making in a Robot Swarm
• Positional Communication and Private Information in Honeybee Foraging Models
• Rank Based Particle Swarm Optimization
• Self-organized Task Partitioning in a Swarm of Robots
• Slime Mold Inspired Path Formation Protocol for Wireless Sensor Networks
• Solving the Multi-dimensional Multi-choice Knapsack Problem with the Help of Ants
• Theoretical Properties of Two ACO Approaches for the Traveling Salesman Problem
• Short Papers
• A Cooperative Network Game Efficiently Solved via an Ant Colony Optimization Approach
• A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
• A Model Based Ant Colony Design for the Protein Engineering Problem
• ACOPHY: A Simple and General Ant Colony Optimization Approach for Phylogenetic Tree Reconstruction
• ACS Searching for D 4t -Hadamard Matrices
• Ant Based Semi-supervised Classification
• Automatic Generation of Optimised Working Time Models in Personnel Planning
• Bee-Sensor: A Step Towards Meta-Routing Strategies in Hybrid Ad Hoc Networks
• Cooperation in a Heterogeneous Robot Swarm through Spatially Targeted Communication
• Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots: An Applicative Scenario
• EDA-PSO: A Hybrid Paradigm Combining Estimation of Distribution Algorithms and Particle Swarm Optimization
• Emergent Flocking with Low-End Swarm Robots
• Exploiting Loose Horizontal Coupling in Evolutionary Swarm Robotics
• Formal Verification of Probabilistic Swarm Behaviours
• Inverse Modeling in Geoenvironmental Engineering Using a Novel Particle Swarm Optimization Algorithm
• Mobile Stigmergic Markers for Navigation in a Heterogeneous Robotic Swarm
• Motif Finding Using Ant Colony Optimization
• Multiple Ant Colony System for Substructure Discovery
• Opportunistic Ant-Based Path Management for Wireless Mesh Networks
• Parallel Ant Colony Optimization Algorithm on a Multi-core Processor
• Particle Swarm Optimization in High Dimensional Spaces
• Particle Swarm Optimization of Bollinger Bands
• Protein Structure Prediction in Lattice Models with Particle Swarm Optimization
• Short and Robust Communication Paths in Dynamic Wireless Networks
• The ACO Encoding
• The Complexity of Grid Coverage by Swarm Robotics
• The Design of an Active Structural Vibration Reduction System Using a Modified Particle Swarm Optimization
• Extended Abstracts
• Ant Colony Extended: Search in Solution Spaces with a Countably Infinite Number of Solutions
• Automatic Parameter Configuration of Particle Swarm Optimization by Classification of Function Features
• Constructing Low-Cost Swarm Robots That March in Column Formation
• Coordinating Heterogeneous Swarms through Minimal Communication among Homogeneous Sub-swarms
• Effect of Particle Initialization on the Performance of Particle Swarm Niching Algorithms
• Energy Efficient Swarm Deployment for Search in Unknown Environments
• Genetic Encoding of Robot Metamorphosis: How to Evolve a Glider with a Genetic Regulatory Network
• How Ant Systems Can Help in Management of pH for Industrial Wastewater Discharges
• Hybrid Metaheuristic Combining Ant Colony Optimization and H-Method
• Increasing Individual Density Reduces Extra-Variance in Swarm Intelligence
• "Look out!": Socially-Mediated Obstacle Avoidance in Collective Transport
• On Possible Connections between Ant Algorithms and Random Matrix Theory
• Soft Variable Fixing in Path Relinking: An Application to ACO Codes
• Training Randomly Connected, Recurrent Artificial Neural Networks Using PSO.

Annotation This book constitutes the proceedings of the 7th International Conference on Swarm Intelligence, held in Brussels, Belgium, in September 2010.

• A Combined Ant Colony and Differential Evolution Feature Selection Algorithm
• A Combined Ant Colony and Differential Evolution Feature Selection Algorithm
• An Improved ACO Based Plug-in to Enhance the Interpretability of Fuzzy Rule Bases with Exceptions
• Ant Colony Optimization for Energy-Efficient Broadcasting in Ad-Hoc Networks
• Ant Colony Optimization for Genome-Wide Genetic Analysis
• cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes
• Finding Minimum Spanning/Distances Trees by Using River Formation Dynamics
• Gathering Multiple Robotic Agents with Crude Distance Sensing Capabilities
• Integration of ACO in a Constraint Programming Language
• Learning from House-Hunting Ants: Collective Decision-Making in Organic Computing Systems
• Modeling Phase Transition in Self-organized Mobile Robot Flocks
• Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study
• Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search
• Simple Dynamic Particle Swarms without Velocity
• Swarming in a Virtual World: A PSO Approach to Virtual Camera Composition
• The Binary Bridge Selection Problem: Stochastic Approximations and the Convergence of a Learning Algorithm
• Two-Level ACO for Haplotype Inference Under Pure Parsimony
• What Hides in Dimension X? A Quest for Visualizing Particle Swarms
• Short Papers
• A Dynamic Swarm for Visual Location Tracking
• A Simulation Study of Routing Performance in Realistic Urban Scenarios for MANETs
• ACO-Based Scheduling of Parallel Batch Processing Machines with Incompatible Job Families to Minimize Total Weighted Tardiness
• Adaptive Particle Swarm Optimization
• Ant Based Heuristics for the Capacitated Fixed Charge Location Problem
• Ant Colony Optimization and the Single Round Robin Maximum Value Problem
• Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns
• Autonomous Reconfiguration in a Self-assembling Multi-robot System
• Beanbag Robotics: Robotic Swarms with 1-DoF Units
• BlåtAnt: Bounding Networks' Diameter with a Collaborative Distributed Algorithm
• Dependency by Concentration of Pheromone Trail for Multiple Robots
• Dissemination of Information with Fair Load Distribution in Self-organizing Grids
• Emergent Sorting in Networks of Router Agents
• Enhancing the Cooperative Transport of Multiple Objects
• Formal Modeling of BeeAdHoc: A Bio-inspired Mobile Ad Hoc Network Routing Protocol
• Incorporating Heuristics in a Swarm Intelligence Framework for Inferring Gene Regulatory Networks from Gene Expression Time Series
• Incorporating Preferences to a Multi-objective Ant Colony Algorithm for Time and Space Assembly Line Balancing
• KANTS: Artifical Ant System for Classification
• Lattice Formation in Space for a Swarm of Pico Satellites
• Merging Groups for the Exploration of Complex State Spaces in the CPSO Approach
• Parallel Ant Colony Optimization for the Quadratic Assignment Problems with Symmetric Multi Processing
• Social Odometry in Populations of Autonomous Robots
• The Architecture of Ant-Based Clustering to Improve Topographic Mapping
• The Small World of Pheromone Trails
• Extended Abstracts
• A Particle Swarm Optimization Algorithm for Multiuser Scheduling in HSDPA
• AntLib v1.0: A Generic C++ Framework for Ant Colony Optimization
• Applying a Distributed Swarm-Based Algorithm to Solve Instances of the RCPSP
• bicACO: An Ant Colony Inspired Biclustering Algorithm
• Dynamic Routing and Travel Time Prediction with Ant Based Control
• Network Formation Using Ant Colony Optimization
• On the Stability and the Parameters of Particle Swarm Optimization
• Regional Traffic Assignment by ACO
• SwarmClass: A Novel Data Clustering Approach by a Hybridization of an Ant Colony with Flying Insects
• The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization.

This book constitutes the refereed proceedings of the 6th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2008, held in Brussels, Belgium, in September 2008. The 17 revised full papers, 24 revised short papers, and 10 extended abstracts presented were carefully reviewed and selected from 91 submissions. The papers cover theoretical and foundational aspects of computational intelligence and related disciplines with special focus on swarm intelligence and are devoted to behavioral models of social insects and new algorithmic approaches, empirical and theoretical research in swarm intelligence, applications such as ant colony optimization or particle swarm optimization, and theoretical and experimental research in swarm robotics systems.
(source: Nielsen Book Data)

• Evolutionary and DNA computing
• Intelligent and complex systems
• Ant colony optimization
• Simulation and modeling : applications in medical sciences.

This book contains selected papers presented at the International Conference "Bio-Inspired Computational Methods Used for Difficult Problems Solving. Development of Intelligent and Complex Systems" - BICS 2008, organized by the Romanian Academy, Bucharest and Petru Major University of Tg. Mures, held on 5-7 November 2008 at Petry Major University of Tg. Mures, Romania. The aim of this conference was to bring together researchers working in the main areas of Complex Systems, Artificial Intelligence, Intelligent Systems and Natural Computing for presenting their recent results and exchanging ideas. The papers included in the book provide an introduction and also a state of the art to the bio-inspired computer science. The areas covered were those of natural computing, such as evolutionary and neural computing, as well as younger research directions, such as DNA computing, ant colony optimization, with connections and applications to intelligent complex systems and to medical informatics. Thus, both directions of research, from biology to informatics and from informatics to biology are illustrated.
(source: Nielsen Book Data)

• 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 Prisoner's Dilemma with Image Scoring on Networks: How Does a Player's 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 Ant Colony 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.
• (source: Nielsen Book Data)

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.
(source: Nielsen Book Data)