Evolutionary Multi-Criterion Optimization First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zitzler, Eckart (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Deb, Kalyanmoy (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Thiele, Lothar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Coello Coello, Carlos (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Corne, David (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
• Έκδοση: 1st ed. 2001.
• Σειρά: Lecture Notes in Computer Science, 1993
• Θέματα: Mathematical optimization.; Software engineering.; Computers.; Algorithms.; Computer science-Mathematics.; Artificial intelligence.; Optimization.; Software Engineering/Programming and Operating Systems.; Theory of Computation.; Algorithm Analysis and Problem Complexity.; Discrete Mathematics in Computer Science.; Artificial Intelligence.

This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two t...

Πίνακας περιεχομένων:

• Tutorials
• Some Methods for Nonlinear Multi-objective Optimization
• A Short Tutorial on Evolutionary Multiobjective Optimization
• Invited Talks
• An Overview in Graphs of Multiple Objective Programming
• Poor-Definition, Uncertainty, and Human Factors - Satisfying Multiple Objectives in Real-World Decision-Making Environments
• Algorithm Improvements
• Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence
• Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
• Adapting Weighted Aggregation for Multiobjective Evolution Strategies
• Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons
• A Micro-Genetic Algorithm for Multiobjective Optimization
• Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions
• Multi-objective Optimisation Based on Relation Favour
• Performance Assessment and Comparison
• Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
• On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization
• Global Multiobjective Optimization with Evolutionary Algorithms: Selection Mechanisms and Mutation Control
• Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function
• A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II
• Performance of Multiple Objective Evolutionary Algorithms on a Distribution System Design Problem - Computational Experiment
• Constraint Handling and Problem Decomposition
• An Infeasibility Objective for Use in Constrained Pareto Optimization
• Reducing Local Optima in Single-Objective Problems by Multi-objectivization
• Constrained Test Problems for Multi-objective Evolutionary Optimization
• Constraint Method-Based Evolutionary Algorithm (CMEA) for Multiobjective Optimization
• Uncertainty and Noise
• Pareto-Front Exploration with Uncertain Objectives
• Evolutionary Multi-objective Ranking with Uncertainty and Noise
• Hybrid and Alternative Methods
• Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective Optimization
• Bi-Criterion Optimization with Multi Colony Ant Algorithms
• Multicriteria Evolutionary Algorithm with Tabu Search for Task Assignment
• A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design
• Fuzzy Evolutionary Hybrid Metaheuristic for Network Topology Design
• A Hybrid Evolutionary Approach for Multicriteria Optimization Problems: Application to the Flow Shop
• The Supported Solutions Used as a Genetic Information in a Population Heuristic
• Scheduling
• Multi-objective Flow-Shop: Preliminary Results
• Pareto-Optimal Solutions for Multi-objective Production Scheduling Problems
• Comparison of Multiple Objective Genetic Algorithms for Parallel Machine Scheduling Problems
• Applications
• A Bi-Criterion Approach for the Airlines Crew Rostering Problem
• Halftone Image Generation with Improved Multiobjective Genetic Algorithm
• Microchannel Optimization Using Multiobjective Evolution Strategies
• Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms
• Application of Multi Objective Evolutionary Algorithms to Analogue Filter Tuning
• Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach
• Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
• Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data
• Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources
• Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
• Multiobjective Optimization of Mixed Variable Design Problems
• Aerodynamic Shape Optimization of Supersonic Wings by Adaptive Range Multiobjective Genetic Algorithms
• Accurate, Transparent, and Compact Fuzzy Models for Function Approximation and Dynamic Modeling through Multi-objective Evolutionary Optimization
• Multi-objective Evolutionary Design of Fuzzy Autopilot Controller
• The Niched Pareto Genetic Algorithm 2 Applied to the Design of Groundwater Remediation Systems
• MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning.