Applications of multi-objective evolutionary algorithms /

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This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Coello Coello, Carlos A., Lamont, Gary B.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, NJ : World Scientific, ©2004.
Colección:Advances in natural computation ; v. 1.
Temas:
Combinatorial optimization.
Evolutionary computation.
Optimisation combinatoire.
Réseaux neuronaux à structure évolutive.
MATHEMATICS > Group Theory.
Genetische algoritmen.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications
  • Applications of Multi-Objective Evolutionary Algorithms in Engineering Design
  • Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach
  • Groundwater Monitoring Design: A Case Study Combining Epsilon Dominance Archiving and Automatic Parameterization for the NSGA-II
  • Using a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic Circuits
  • Application of Multi-Objective Evolutionary Algorithms in Autonomous Vehicles Navigation
  • Automatic Control System Design via a Multiobjective Evolutionary Algorithm
  • The Use of Evolutionary Algorithms to Solve Practical Problems in Polymer Extrusion
  • The Use of Evolutionary Algorithms to Solve Practical Problems in Polymer Extrusion
  • City and Regional Planning via a MOEA: Lessons Learned
  • A Multi-Objective Evolutionary Algorithm for the Covering Tour Problem
  • A Computer Engineering Benchmark Application for Multiobjective Optimizers
  • Multiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic Algorithms
  • Applications of a Multi-Objective Genetic Algorithm in Chemical and Environmental Engineering
  • Multi-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient Determination
  • Application of Multiobjective Evolutionary Optimization Algorithms in Medicine
  • On Machine Learning with Multiobjective Genetic Optimization
  • Generalized Analysis of Promoters: A Method for DNA Sequence Description
  • Multi-Objective Evolutionary Algorithms for Computer Science Applications
  • Design of Fluid Power System Using a Multi Objective Genetic Algorithm
  • Elimination of Exceptional Elements in Cellular Manufacturing Systems Using Multi-Objective Genetic Algorithms
  • Single-Objective and Multi-Objective Evolutionary Flowshop Scheduling
  • Evolutionary Operators Based on Elite Solutions for Bi-Objective Combinatorial Optimization
  • Multi-Objective Rectangular Packing Problem
  • Multi-Objective Algorithms for Attribute Selection in Data Mining
  • Financial Applications of Multi-Objective Evolutionary Algorithms: Recent Developments and Future Research Directions
  • Evolutionary Multi-Objective Optimization Approach to Constructing Neural Network Ensembles for Regression
  • Optimizing Forecast Model Complexity Using Multi-Objective Evolutionary Algorithms
  • Even Flow Scheduling Problems in Forest Management
  • Using Diversity to Guide the Search in Multi-Objective Optimization.

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