Applications of multi-objective evolutionary algorithms
By: editors, Carlos A. Coello Coello, Gary B. Lamont
Series: Advances in natural computation -- v. 1; Advances in natural computation -- v. 1.
Publisher: World Scientific
Published: 2004
Place of publication: Singapore; Hackensack, NJ
Language: eng
Format: [electronic resource] /
Number of pages: 761
ISBN-13: 9789812567796
Subjects: Group Theory; Combinatorial optimization; Evolutionary computation; MATHEMATICS
Notes: Includes bibliographical references and index.

Description based on print version record.
Table of contents: title: An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications; title: Applications of Multi-Objective Evolutionary Algorithms in Engineering Design; title: Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach; title: Groundwater Monitoring Design: A Case Study Combining Epsilon Dominance Archiving and Automatic Parameterization for the NSGA-II; title: Using a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic Circuits; title: Application of Multi-Objective Evolutionary Algorithms in Autonomous Vehicles Navigation; title: Automatic Control System Design via a Multiobjective Evolutionary Algorithm; title: The Use of Evolutionary Algorithms to Solve Practical Problems in Polymer Extrusion; title: The Use of Evolutionary Algorithms to Solve Practical Problems in Polymer Extrusion; title: City and Regional Planning via a MOEA: Lessons Learned; title: A Multi-Objective Evolutionary Algorithm for the Covering Tour Problem; title: A Computer Engineering Benchmark Application for Multiobjective Optimizers; title: Multiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic Algorithms; title: Applications of a Multi-Objective Genetic Algorithm in Chemical and Environmental Engineering; title: Multi-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient Determination; title: Application of Multiobjective Evolutionary Optimization Algorithms in Medicine; title: On Machine Learning with Multiobjective Genetic Optimization; title: Generalized Analysis of Promoters: A Method for DNA Sequence Description; title: Multi-Objective Evolutionary Algorithms for Computer Science Applications; title: Design of Fluid Power System Using a Multi Objective Genetic Algorithm; title: Elimination of Exceptional Elements in Cellular Manufacturing Systems Using Multi-Objective Genetic Algorithms; title: Single-Objective and Multi-Objective Evolutionary Flowshop Scheduling; title: Evolutionary Operators Based on Elite Solutions for Bi-Objective Combinatorial Optimization; title: Multi-Objective Rectangular Packing Problem; title: Multi-Objective Algorithms for Attribute Selection in Data Mining; title: Financial Applications of Multi-Objective Evolutionary Algorithms: Recent Developments and Future Research Directions; title: Evolutionary Multi-Objective Optimization Approach to Constructing Neural Network Ensembles for Regression; title: Optimizing Forecast Model Complexity Using Multi-Objective Evolutionary Algorithms; title: Even Flow Scheduling Problems in Forest Management; title: Using Diversity to Guide the Search in Multi-Objective Optimization.