Query: swarm intelligence 2010

Candidate papers:

abstract: Theoretical Analysis of Swarm Intelligence Algorithms. Stability Problem for a Predator Prey System. Study on the Local Search Ability of Particle Swarm Optimization. The Performance Measurement of a Canonical Particle Swarm Optimizer with Diversive Curiosity. Mechanism and Convergence of Bee Swarm Genetic Algorithm. On the Farther Analysis of Performance of the Artificial Searching Swarm Algorithm. Orthogonality and Optimality in Non Pheromone Mediated Foraging. An Adaptive Staged PSO Based on Particles' Search Capabilities. PSO Algorithms. A New Particle Swarm Optimization Algorithm and Its Numerical Analysis. A New PSO Model Mimicking Bio parasitic Behavior. KNOB Particle Swarm Optimizer. Grouping Shuffling Particle Swarm Optimization: An Improved PSO for Continuous Optimization. Gender Hierarchy Particle Swarm Optimizer Based on Punishment. An Improved Probability Particle Swarm Optimization Algorithm. An Automatic Niching Particle Swarm for Multimodal Function Optimization. An Availability Aware Task Scheduling for Heterogeneous Systems Using Quantum behaved Particle Swarm Optimization. A Novel Encoding Scheme of PSO for Two Machine Group Scheduling. Improved Quantum Particle Swarm Optimization by Bloch Sphere. An Improved Particle Swarm Optimization for Permutation Flowshop Scheduling Problem with Total Flowtime Criterion. Applications of PSO Algorithms. Broadband MVDR Beamformer Applying PSO. Medical Image Registration Algorithm with Generalized Mutual Information and PSO Powell Hybrid Algorithm. Particle Swarm Optimization for Automatic Selection of Relevance Feedback Heuristics. Performance of Optimized Fuzzy Edge Detectors using Particle Swarm Algorithm. PSO Heuristics Algorithm for Portfolio Optimization. A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problem. Optimal Micro siting of Wind Farms by Particle Swarm Optimization. PSO Applied to Table Allocation Problems. Finding the Maximum Module of the Roots of a Polynomial by Particle Swarm Optimization. ACO Algorithms. Research on the Ant Colony Optimization Algorithm with Multi population Hierarchy Evolution. Graph Partitioning Using Improved Ant Clustering. A Knowledge Based Ant Colony Optimization for a Grid Workflow Scheduling Problem. An Improved Parallel Ant Colony Optimization Based on Message Passing Interface. Applications of ACO Algorithms. Research on Fault Diagnosis Based on BP Neural Network Optimized by Chaos Ant Colony Algorithm. Edge Detection of Laser Range Image Based on a Fast Adaptive Ant Colony Algorithm. A Real Time Moving Ant Estimator for Bearings Only Tracking. Two Stage Inter Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms. Images Boundary Extraction Based on Curve Evolution and Ant Colony Algorithm. ACO Based Energy Balance Routing Algorithm for WSNs. Swarm Intelligence Algorithms for Portfolio Optimization. Artificial Immune System. Document Classification with Multi layered Immune Principle. A Quantum Immune Algorithm for Multiobjective Parallel Machine Scheduling. A Resource Limited Immune Approach for Evolving Architecture and Weights of Multilayer Neural Network. Cryptanalysis of Four Rounded DES Using Binary Artificial Immune System. An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization. Novel Swarm Based Optimization Algorithms. Fireworks Algorithm for Optimization. Bacterial Foraging Optimization Algorithm with Particle Swarm Optimization Strategy for Distribution Network Reconfiguration. Optimization Design of Flash Structure for Forging Die Based on Kriging PSO Strategy. A Scatter Search Algorithm for the Slab Stack Shuffling Problem. Collaboration Algorithm of FSMAS. GPU Based Parallelization Algorithm for 2D Line Integral Convolution. Biogeography Migration Algorithm for Traveling Salesman Problem. An Approach of Redistricting Based on Simple and Compactness. Genetic Algorithms. A Rapid Chaos Genetic Algorithm. Fitness Function of Genetic Algorithm in Structural Constraint Optimization. Using Genetic Algorithm for Classification in Face Recognition. Dynamic Path Optimization of Emergency Transport Based on Hierarchical Genetic Algorithm. Fault Diagnosis of Analog Circuits Using Extension Genetic Algorithm. A Collision Detection Algorithm Based on Self adaptive Genetic Method in Virtual Environment. A Non dominated Sorting Bit Matrix Genetic Algorithm for P2P Relay Optimization. Fast Parallel Memetic Algorithm for Vector Quantization Based for Reconfigurable Hardware and Softcore Processor. Evolutionary Computation. Optimization of Minimum Completion Time MTSP Based on the Improved DE. Differential Evolution for Optimization of Land Use. Hybrid Differential Evolution for Knapsack Problem. Bottom Up Tree Evaluation in Tree Based Genetic Programming. Solving Vehicle Assignment Problem Using Evolutionary Computation. A Computerized Approach of the Knowledge Representation of Digital Evolution Machines in an Artificial World. An Improved Thermodynamics Evolutionary Algorithm Based on the Minimal Free Energy. Hybrid Algorithms. A Hybrid Evolutionary Algorithm Based on Alopex and Estimation of Distribution Algorithm and Its Application for Optimization. A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony. A Hybrid PSO/GA Algorithm for Job Shop Scheduling Problem. A Hybrid Particle Swarm Optimization Algorithm for Order Planning Problems of Steel Factory. Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm. A Hybrid of Particle Swarm Optimization and Local Search for Multimodal Functions. A Cooperative Ant Colony System and Genetic Algorithm for TSPs. Tracking Control of Uncertain DC Server Motors Using Genetic Fuzzy System. Multi objective Optimization Algorithms. Novel Multi Objective Genetic Algorithm Based on Static Bayesian Game Strategy. A Hybrid Pareto Based Tabu Search for Multi objective Flexible Job Shop Scheduling Problem with E/T Penalty. Research on Multi objective Optimization Design of the UUV Shape Based on Numerical Simulation. Multi Objective Optimization for Massive Pedestrian Evacuation Using Ant Colony Algorithm. An Improved Immune Genetic Algorithm for Multiobjective Optimization. Multi robot Systems. Enhanced Mapping of Multi robot Using Distortion Reducing Filter Based SIFT. Study on Improved GPGP Based Multi agent Semiconductor Fabrication Line Dynamic Scheduling Method. Multi robot Formation Control Using Reinforcement Learning Method. Development of Image Stabilization System Using Extended Kalman Filter for a Mobile Robot. Multi agent Based Complex Systems. Diffusing Method for Unknown Environment Exploration in Multi Robot Systems. Impulsive Consensus Seeking in Delayed Networks of Multi agents. The Application of Multi agent Technology on the Level of Repair Analysis. The Framework of an Intelligent Battlefield Damage Assessment System Based on Multi Agent System. Adaptive System of Heterogeneous Multi agent Investors in an Artificial Evolutionary Double Auction Market. Average Consensus for Directed Networks of Multi agent with Time Varying Delay. Multi Agent Cooperative Reinforcement Learning in 3D Virtual World.
author_names: Ying Tan

Yuhui Shi

Kay Chen Tan
title: Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12 15, 2010, Proceedings, Part II
venue: ICSI
year: 2010

abstract: Keywords: Swarm Intelligence Swarm Robotics Swarmanoid Evolutionary Computation Evolutionary Robotics Reference EPFL BOOK 161827 URL: http:/iridia.ulb.ac.be/ants2010/ Record created on 2010 12 20, modified on 2017 05 10
author_names: Marco Dorigo

M Birattari

Gianni A Di Caro

Rene Doursat

Andries Petrus Engelbrecht

Dario Floreano

Luca Maria Gambardella

R Gross

Erol Sahin

Hiroki Sayama

Thomas Stutzle
title: Swarm Intelligence. Proceedings of the 7th International Conference, ANTS 2010
year: 2010

abstract: 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.
author_names: Marco Dorigo
title: Swarm Intelligence 7th International Conference, ANTS 2010, Brussels, Belgium, September 8 10, 2010. Proceedings
venue: ANTS Conference
year: 2010

author_names: Ying Tan

Yuhui Shi

Kay Chen Tan
title: Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12 15, 2010, Proceedings, Part I
venue: ICSI
year: 2010

author_names: Marco Dorigo

M Birattari

Gianni A Di Caro

Rene Doursat

Andries Petrus Engelbrecht

Dario Floreano

Luca Maria Gambardella

R Gross

Erol Sahin

Hiroki Sayama

Thomas Stutzle
title: Swarm Intelligence: 7th International Conference, ANTS 2010. Proceedings
year: 2010

abstract: Electronic media have unlocked a hitherto largely untapped potential for swarm intelligence (SI; generally, the realisation that group living can facilitate solving cognitive problems that go beyond the capacity of single animals) in humans with relevance for areas such as company management, prediction of elections, product development and the entertainment industry. SI is a rapidly developing topic that has become a hotbed for both innovative research and wild speculation. Here, we tie together approaches from seemingly disparate areas by means of a general definition of SI to unite SI work on both animal and human groups. Furthermore, we identify criteria that are important for SI to operate and propose areas in which further progress with SI research can be made.
author_names: Jens Krause

Graeme D Ruxton

Stefan Krause
title: Swarm intelligence in animals and humans.
venue: Trends in ecology evolution
year: 2010

abstract: This paper surveys the intersection of two fascinating and increasingly popular domains: swarm intelligence and data mining. Whereas data mining has been a popular academic topic for decades, swarm intelligence is a relatively new subfield of artificial intelligence which studies the emergent collective intelligence of groups of simple agents. It is based on social behavior that can be observed in nature, such as ant colonies, flocks of birds, fish schools and bee hives, where a number of individuals with limited capabilities are able to come to intelligent solutions for complex problems. In recent years the swarm intelligence paradigm has received widespread attention in research, mainly as Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) These are also the most popular swarm intelligence metaheuristics for data mining. In addition to an overview of these nature inspired computing methodologies, we discuss popular data mining techniques based on these principles and schematically list the main differences in our literature tables. Further, we provide a unifying framework that categorizes the swarm intelligence based data mining algorithms into two approaches: effective search and data organizing. Finally, we list interesting issues for future research, hereby identifying methodological gaps in current research as well as mapping opportunities provided by swarm intelligence to current challenges within data mining research.
author_names: David Martens

Bart Baesens

Tom Fawcett
title: Editorial survey: swarm intelligence for data mining
venue: Machine Learning
year: 2010

abstract: The quadratic minimum spanning tree problem (Q MST) is an extension of the minimum spanning tree problem (MST) In Q MST, in addition to edge costs, costs are also associated with ordered pairs of distinct edges and one has to find a spanning tree that minimizes the sumtotal of the costs of individual edges present in the spanning tree and the costs of the ordered pairs containing only edges present in the spanning tree. Though MST can be solved in polynomial time, Q MST is NP Hard. In this paper we present an artificial bee colony (ABC) algorithm to solve Q MST. The ABC algorithm is a new swarm intelligence approach inspired by intelligent foraging behavior of honey bees. Computational results show the effectiveness of our approach.
author_names: Shyam Sundar

Alok Singh
title: A swarm intelligence approach to the quadratic minimum spanning tree problem
venue: Inf. Sci.
year: 2010

abstract: This paper gives a broad overview of swarm intelligence in three parts: biological basis, artificial literature and swarm engineering. In biological basis part, the paper gives some operational principles from biological systems by naturalists and biologists. In artificial literature part, two fundamental approaches are provided to analyze swarm topology. The prevalent swarm models and techniques such as Reynolds's rules, discrete and continuum theory of flocking, coordination stability of the swarm motion, etc, are also summarized in this part. In swarm engineering part, the paper discusses Kazadi's "two step" process. Many engineering applications come from Kazadi's researches. Also, the main application of swarm intelligence on robot systems and other applications are introduced in this part. We say this paper provides concepts for a better understanding of swarm intelligence both in principles and in applications.
author_names: Yan-fei Zhu

Xiong Tang
title: Overview of swarm intelligence
venue: 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
year: 2010

abstract: In the last decade, wireless sensor networks have attracted many researchers. One of the main topics adopted by researchers studying on wireless sensor networks is developing routing protocols for wireless systems. Routing protocol development deals with problems such as complexity, scalability, adaptability, survivability and battery life in wireless systems. Routing protocols grounded for wireless systems are developed in order to solve these problems. In this paper, we briefly discussed especially, swarm intelligence based routing protocols for wireless sensor networks. Key words:
author_names: Fatih Celik

Ahmet Zengin

Sinan Tuncel

Bulent Cobanoglu
title: A survey on swarm intelligence based routing protocols in wireless sensor networks
year: 2010