Evolutionary Multi-Criterion Optimization: 4th International Conference, Emo 2007, Matsushima, Japan, March 5-8, 2007, Proceedings

ISBN-13: 9783540709275 / Angielski / Miękka / 2007 / 980 str.

Shigeru Obayashi; Kalyanmoy Deb; Carlo Poloni

Opis

Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5 8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zurich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, Mexico in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems."

Spis treści

Invited Talks.- Aspiration Level Methods in Interactive Multi-objective Programming and Their Engineering Applications (Abstract of Invited Talk).- Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk).- Decision Making in Evolutionary Optimization (Abstract of Invited Talk).- MOEAs in the Design of Network Centric Systems (Abstract of Invited Talk).- Algorithm Design.- Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs.- Designing Multi-objective Variation Operators Using a Predator-Prey Approach.- Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets.- Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization.- Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms.- Multiobjective Evolutionary Algorithms on Complex Networks.- On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization.- Algorithm Improvements.- Symbolic Archive Representation for a Fast Nondominance Test.- Design Issues in a Multiobjective Cellular Genetic Algorithm.- FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems.- Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator.- Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.- A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers.- Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems.- Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network.- Alternative Methods.- Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis.- The Development of a Multi-threaded Multi-objective Tabu Search Algorithm.- Differential Evolution versus Genetic Algorithms in Multiobjective Optimization.- EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency.- A Novel Differential Evolution Algorithm Based on ?-Domination and Orthogonal Design Method for Multiobjective Optimization.- Molecular Dynamics Optimizer.- Applications.- Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach.- Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Train and Driving Strategy.- Multiobjective Evolutionary Neural Networks for Time Series Forecasting.- Heatmap Visualization of Population Based Multi Objective Algorithms.- Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm.- ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization.- Multi-objective Evolutionary Algorithms for Resource Allocation Problems.- Multi-objective Pole Placement with Evolutionary Algorithms.- A Multi-objective Evolutionary Approach for Phylogenetic Inference.- On Convergence of Multi-objective Pareto Front: Perturbation Method.- Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem.- Evolutionary Algorithm Based Corrective Process Control System in Glass Melting Process.- Bi-objective Combined Facility Location and Network Design.- Local Search Guided by Path Relinking and Heuristic Bounds.- Rule Induction for Classification Using Multi-objective Genetic Programming.- Combining Linear Programming and Multiobjective Evolutionary Computation for Solving a Type of Stochastic Knapsack Problem.- Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks.- Using Multiobjective Evolutionary Algorithms to Assess Biological Simulation Models.- Engineering Design.- Improving Computational Mechanics Optimum Design Using Helper Objectives: An Application in Frame Bar Structures.- A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding.- Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings.- Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization.- MOGA-II for an Automotive Cooling Duct Optimization on Distributed Resources.- Individual Evaluation Scheduling for Experiment-Based Evolutionary Multi-objective Optimization.- A Multiobjectivization Approach for Vehicle Routing Problems.- Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization.- On the Interactive Resolution of Multi-objective Vehicle Routing Problems.- Radar Waveform Optimisation as a Many-Objective Application Benchmark.- Many Objectives.- Robust Multi-Objective Optimization in High Dimensional Spaces.- Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems.- Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization.- Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization.- Objective Handling.- Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding.- I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods.- Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling.- Acceleration of Experiment-Based Evolutionary Multi-objective Optimization Using Fitness Estimation.- Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.- Performance Assessments.- multi-Multi-Objective Optimization Problem and Its Solution by a MOEA.- The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration.- The Multiple Multi Objective Problem – Definition, Solution and Evaluation.- Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer.- A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation.- Test Problems Based on Lamé Superspheres.- Overview of Artificial Immune Systems for Multi-objective Optimization.