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 standardsof 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.
Inhaltsverzeichnis
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. - ARelation-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.
