Simulated Evolution and Learning (Paperback)

Kalyanmoy Deb

ISBN 10: 3642172970 / ISBN 13: 9783642172977

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010

Riguardo questo articolo

Paperback. ThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1-4, 2010 at the Indian Institute of Technology Kanpur in India. SEAL is a prestigious inter- tional conference series in evolutionaryoptimization and machine learning. This biennial event started in Seoul, South Korea in 1996 and was thereafter held in Canberra, Australia in 1998, Nagoya, Japan in 2000, Singapore in 2002, Busan, South Korea in 2004,Hefei, China in 2006and Melbourne, Australia in 2008. SEAL 2010 received 141 paper submissions in total from 30 countries. After a rigorous peer-review process involving 431 reviews in total (averaging a little morethan3reviewsperpaper),60full-lengthand19shortpaperswereaccepted for presentation (both oral and poster) at the conference. The full-length papers alonecorrespondtoa42. 6%acceptancerateandshortpapersaddanother13. 5%. ThepapersincludedinthisLNCSvolumecoverawiderangeoftopicsinsi- latedevolutionandlearning. Theacceptedpapershavebeenclassi?edintothef- lowingmaincategories:(a)theoreticaldevelopments,(b)evolutionaryalgorithms andapplications,(c)learningmethodologies,(d)multi-objectiveevolutionary- gorithms and applications,(e) hybrid algorithms and (f) industrial applications.The conference featured three distinguished keynote speakers. Narendra Karmarkar's talk on "Beyond Convexity: New Perspectives in Computational Optimization" focused on providing new theoretical concepts for non-convex optimization and indicated a rich connection between optimization and ma- ematical physics and also showed a deep signi?cance of advanced geometry to optimization. The advancement of optimization theory for non-convex problems is bene?cial for meta-heuristic optimization algorithms such as evolutionary - gorithms. Manindra Agrawal's talk on "PRIMES is in P" provided a mu- improved version of his celebrated and ground-breaking 2002 work on poly- mial time algorithm for testing prime numbers. The theoretical computation work presented in this keynote lecture should be motivating for the evolutionary optimization and machine learning community at large. Constitutes the proceedings of the 8th International Conference on Simulated Evolution and Learning, SEAL 2010, held in Kanpur, India, in December 2010. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9783642172977

Dati bibliografici

• Titolo: Simulated Evolution and Learning (Paperback)
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3642172970
• ISBN 13: 9783642172977
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

evolutionary - gorithms. Manindra Agrawal’s talk on “PRIMES is in P” provided a mu- improved version of his celebrated and ground-breaking 2002 work on poly- mial time algorithm for testing prime numbers. The theoretical computation work presented in this keynote lecture should be motivating for the evolutionary optimization and machine learning community at large.

Contenuti

Invited Paper.- Beyond Convexity: New Perspectives in Computational Optimization.- Theoretical Developments.- Optimal ?-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results.- A Parallel Algorithm for Solving Large Convex Minimax Problems.- Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme.- To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition.- Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control.- A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants.- Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods.- Evolutionary Algorithms and Applications.- MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization.- A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach.- On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm.- Intensification Strategies for Extremal Optimisation.- Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems.- Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation.- Improving Differential Evolution by Altering Steps in EC.- A Dynamic Island-Based Genetic Algorithms Framework.- Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algorithms.- A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization.- Evolutionary FCMAC-BYY Applied to Stream Data Analysis.- UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene Based Systems Using Genetic Algorithm.- HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design.- A Population Diversity-Oriented Gene Expression Programming for Function Finding.- Learning Methodologies.- Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning.- Dominance-Based Pareto-Surrogate for Multi-Objective Optimization.- Learning Cellular Automata Rules for Pattern Reconstruction Task.- Evolving Fuzzy Rules: Evaluation of a New Approach.- A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases.- Artificial Neural Network Modeling for Estimating the Depth of Penetration and Weld Bead Width from the Infra Red Thermal Image of the Weld Pool during A-TIG Welding.- Swarm Reinforcement Learning Method Based on an Actor-Critic Method.- XCS Revisited: A Novel Discovery Component for the eXtended Classifier System.- Supplanting Neural Networks with ODEs in Evolutionary Robotics.- Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design.- Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction.- Tile Pasting P System with Multiple-Edge Pasting.- Modeling and Automation of Diagnosis and Treatment of Diabetes.- The Evolution of Fuzzy Classifier for Data Mining with Applications.- PID Step Response Using Genetic Programming.- Divide and Evolve Driven by Human Strategies.- A Genetic Algorithm for Assigning Individuals to Populations Using Multi-locus Genotyping.- Extended Q-Learning Algorithm for Path-Planning of a Mobile Robot.- An XML Format for Sharing Evolutionary Algorithm Output and Analysis.- Car Setup Optimisation.- Multi-Objective Evolutionary Algorithms and Applications.- Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control.- Non-dimensional Multi-objective Performance Optimization of Single Stage Thermoelectric Cooler.- Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process.- Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power Systems.- Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms.- Optimisation of Double Wishbone Suspension System Using Multi-Objective Genetic Algorithm.- Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization.- Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution.- Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment using NSGA-II.- Tuning Process Parameters of Electrochemical Machining Using a Multi-objective Genetic Algorithm: A Preliminary Study.- The Optimization versus Survival Problem and Its Solution by an Evolutionary Multi Objective Algorithm.- Synthesis of Difference Patterns for Monopulse Antenna Arrays – An Evolutionary Multi-objective Optimization Approach.- Performance of Lognormal Probability Distribution in Crossover Operator of NSGA-II Algorithm.- Metamodels for Fast Multi-objective Optimization: Trading Off Global Exploration and Local Exploitation.- Integrated Location-Inventory Retail Supply Chain Design: A Multi-objective Evolutionary Approach.- Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm.- A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems.- Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure.- A Hybrid Method for Multi-Objective Shape Optimization.- Evolutionary Multi-Objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach.- Multi-Objective Optimisation of Web Business Processes.- Multi Objective Optimization of Planetary Gear Train.- Multi-objective Control Systems Design with Criteria Reduction.- Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem.- Hybrid Algorithms.- Automatic Shape Independent Shell Clustering Using an Ant Based Approach.- Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding.- Hybrid Optimization Scheme for Radial Basis Function Neural Network.- Modified Levenberg Marquardt Algorithm for Inverse Problems.- Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology.- Industrial Applications.- A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration.- A Modular Decision-Tree Architecture for Better Problem Understanding.- Virtual Manufacturing Cell Design Using a PSO Approach with Alternative Neighbourhood Topologies.- Energy Saving System for Office Lighting by Using PSO and ZigBee Network.- EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics.- A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations.- An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design.- EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification.- Toward Optimal Disk Layout of Genome Scale Suffix Trees.