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Applications of multi-objective evolutionary algorithms /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; Hackensack, NJ :
World Scientific,
©2004.
|
| Colección: | Advances in natural computation ;
v. 1. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Applications of multi-objective evolutionary algorithms / |c editors, Carlos A. Coello Coello, Gary B. Lamont. |
| 260 | |a Singapore ; |a Hackensack, NJ : |b World Scientific, |c ©2004. | ||
| 300 | |a 1 online resource (xxvii, 761 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Advances in natural computation ; |v v. 1 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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 solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain. | ||
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Combinatorial optimization. | |
| 650 | 0 | |a Evolutionary computation. | |
| 650 | 6 | |a Optimisation combinatoire. | |
| 650 | 6 | |a Réseaux neuronaux à structure évolutive. | |
| 650 | 7 | |a MATHEMATICS |x Group Theory. |2 bisacsh | |
| 650 | 7 | |a Combinatorial optimization. |2 fast |0 (OCoLC)fst00868980 | |
| 650 | 7 | |a Evolutionary computation. |2 fast |0 (OCoLC)fst00917338 | |
| 650 | 1 | 7 | |a Genetische algoritmen. |2 gtt |
| 700 | 1 | |a Coello Coello, Carlos A. | |
| 700 | 1 | |a Lamont, Gary B. | |
| 776 | 0 | 8 | |i Print version: |t Applications of multi-objective evolutionary algorithms. |d Singapore ; Hackensack, NJ : World Scientific, ©2004 |z 9812561064 |w (OCoLC)58479902 |
| 830 | 0 | |a Advances in natural computation ; |v v. 1. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=148582 |z Texto completo |
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