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Swarm, Evolutionary, and Memetic Computing

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This LNCS volume contains the papers presented at the First Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2010) he... Weiterlesen
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This LNCS volume contains the papers presented at the First Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2010) held during December 16-- 18, 2010 at SRM University, Chennai, in India. SEMCCO 2010 marked the beginning of a prestigious international conference series that aims at bringing together researchers from academia and industry to report and review the latest progress in the cutting-edge research on swarm, evolutionary, and memetic computing, to explore new application areas, to design new bio-inspired algorithms for solving specific hard optimization problems, and finally to create awareness on these domains to a wider audience of practitioners. SEMCCO 2010 received 225 paper submissions from 20 countries across the globe. After a rigorous peer-review process involving 610 reviews in total, 90 fu- length articles were accepted for oral presentation at the conference. This corresponds to an acceptance rate of 40% and is intended for maintaining the high standards of the conference proceedings. The papers included in this LNCS volume cover a wide range of topics in swarm, evolutionary, and memetic computing algorithms and their real-world applications in problems selected from diverse domains of science and engineering.


Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC'2010 Large Scale Optimization.- Differential Evolution Based Ascent Phase Trajectory Optimization for a Hypersonic Vehicle.- Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-modal Optimization.- Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants.- Differential Evolution Based Fuzzy Clustering.- A Population Adaptive Differential Evolution Strategy to Light Configuration Optimization of Photometric Stereo.- Solving Multi Objective Stochastic Programming Problems Using Differential Evolution.- Multi Sensor Fusion Using Fitness Adaptive Differential Evolution.- Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies.- Design of Robust Optimal Fixed Structure Controller Using Self Adaptive Differential Evolution.- Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution.- Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems.- A Self Adaptive Differential Evolution Algorithm for Global Optimization.- Optimization for Workspace Volume of 3R Robot Manipulator Using Modified Differential Evolution.- Adaptive Differential Evolution with p-Best Crossover for Continuous Global Optimization.- A New Particle Swarm Optimization Algorithm for Dynamic Environments.- Power Mutation Embedded Modified PSO for Global Optimization Problems.- PSO Advances and Application to Inverse Problems.- Adaptive and Accelerated Exploration Particle Swarm Optimizer (AAEPSO) for Solving Constrained Multiobjective Optimization Problems.- Expedite Particle Swarm Optimization Algorithm (EPSO) for Optimization of MSA.- Covariance Matrix Adapted Evolution Strategy Based Design of Mixed H2/H??? PID Controller.- Towards a Link between Knee Solutions and Preferred Solution Methodologies.- A Relation-Based Model for Convergence Analysis of Evolutionary Algorithm.- Neural Meta-Memes Framework for Combinatorial Optimization.- An Improved Evolutionary Programming with Voting and Elitist Dispersal Scheme.- Heuristic Algorithms for the L(2,1)-Labeling Problem.- Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation.- Best Hiding Capacity Scheme for Variable Length Messages Using Particle Swarm Optimization.- Ant Colony Optimization for Markowitz Mean-Variance Portfolio Model.- Hybrid PSO Based Integration of Multiple Representations of Thermal Hand Vein Patterns.- Detection and Length Estimation of Linear Scratch on Solid Surfaces Using an Angle Constrained Ant Colony Technique.- An Intelligence Model with Max-Min Strategy for Constrained Evolutionary Optimization.- Parallel Ant-Miner (PAM) on High Performance Clusters.- A Software Tool for Data Clustering Using Particle Swarm Optimization.- An ACO Approach to Job Scheduling in Grid Environment.- Runtime Analysis of (1+1) Evolutionary Algorithm for a TSP Instance.- An Evolutionary Approach to Intelligent Planning.- Substitute Domination Relation for High Objective Number Optimization.- Discrete Variables Function Optimization Using Accelerated Biogeography-Based Optimization.- A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization.- Evolutionary Programming Improved by an Individual Random Difference Mutation.- Taguchi Method Based Parametric Study of Generalized Generation Gap Genetic Algorithm Model.- EBFS-ICA: An Efficient Algorithm for CT-MRI Image Fusion.- Adaptive Nonlinear Signal Approximation Using Bacterial Foraging Strategy.- Swarm Intelligence for Optimizing Hybridized Smoothing Filter in Image Edge Enhancement.- A Hybrid GA-Adaptive Particle Swarm Optimization Based Tuning of Unscented Kalman Filter for Harmonic Estimation.- Using Social Emotional Optimization Algorithm to Direct Orbits of Chaotic Systems.- A Hybrid ANN-BFOA Approach for Optimization of FDM Process Parameters.- Bio Inspired Swarm Algorithm for Tumor Detection in Digital Mammogram.- A Hybrid Particle Swarm with Differential Evolution Operator Approach (DEPSO) for Linear Array Synthesis.- Sensor Deployment in 3-D Terrain Using Artificial Bee Colony Algorithm.- Novel Particle Swarm Optimization Based Synthesis of Concentric Circular Antenna Array for Broadside Radiation.- A Particle Swarm Optimization Algorithm for Optimal Operating Parameters of VMI Systems in a Two-Echelon Supply Chain.- Enhanced Memetic Algorithm for Task Scheduling.- Quadratic Approximation PSO for Economic Dispatch Problems with Valve-Point Effects.- Fuzzified PSO Algorithm for OPF with FACTS Devices in Interconnected Power Systems.- Co-ordinated Design of AVR-PSS Using Multi Objective Genetic Algorithm.- A Genetic Algorithm Approach for the Multi-commodity, Multi-period Distribution Planning in a Supply Chain Network Design.- Particle Swarm Optimization with Watts-Strogatz Model.- Multi-objective Evolutionary Algorithms to Solve Coverage and Lifetime Optimization Problem in Wireless Sensor Networks.- Offline Parameter Estimation of Induction Motor Using a Meta Heuristic Algorithm.- Performance Evaluation of Particle Swarm Optimization Based Active Noise Control Algorithm.- Solution to Non-convex Electric Power Dispatch Problem Using Seeker Optimization Algorithm.- Swarm Intelligence Algorithm for Induction Motor Field Efficiency Evaluation.- Artificial Bee Colony Algorithm for Transient Performance Augmentation of Grid Connected Distributed Generation.- Performance Comparison of Attribute Set Reduction Algorithms in Stock Price Prediction - A Case Study on Indian Stock Data.- Dimensionality Reduction and Optimum Feature Selection in Designing Efficient Classifiers.- Social Emotional Optimization Algorithm for Nonlinear Constrained Optimization Problems.- Multi-Objective Optimal Design of Switch Reluctance Motors Using Adaptive Genetic Algorithm.- Genetic Algorithm Approaches to Solve RWA Problem in WDM Optical Networks.- Multi-objective Performance Optimization of Thermo-Electric Coolers Using Dimensional Structural Parameters.- An Artificial Physics Optimization Algorithm for Multi-Objective Problems Based on Virtual Force Sorting Proceedings.- Effective Document Clustering with Particle Swarm Optimization.- A Hybrid Differential Invasive Weed Algorithm for Congestion Management.- Security Constrained Optimal Power Flow with FACTS Devices Using Modified Particle Swarm Optimization.- Tuning of PID Controller Using Internal Model Control with the Filter Constant Optimized Using Bee Colony Optimization Technique.- An Efficient Estimation of Distribution Algorithm for Job Shop Scheduling Problem.- Semantic Web Service Discovery Algorithm Based on Swarm System.- Stochastic Ranking Particle Swarm Optimization for Constrained Engineering Design Problems.- A New Improved Particle Swarm Optimization Technique for Daily Economic Generation Scheduling of Cascaded Hydrothermal Systems.- Improved Real Quantum Evolutionary Algorithm for Optimum Economic Load Dispatch with Non-convex Loads.- Linear Array Geometry Synthesis with Minimum Side Lobe Level and Null Control Using Dynamic Multi-Swarm Particle Swarm Optimizer with Local Search.- Constraint Handling in Transmission Network Expansion Planning.- A Novel Multi-objective Formulation for Hydrothermal Power Scheduling Based on Reservoir End Volume Relaxation.- Particle Swarm Optimization and Varying Chemotactic Step-Size Bacterial Foraging Optimization Algorithms Based Dynamic Economic Dispatch with Non-smooth Fuel Cost Functions.- Hydro-thermal Commitment Scheduling by Tabu Search Method with Cooling-Banking Constraints.


Titel: Swarm, Evolutionary, and Memetic Computing
Untertitel: First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010, Proceedings
EAN: 9783642175633
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Veröffentlichung: 06.12.2010
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 14.21 MB
Anzahl Seiten: 755

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