Title Statements
- Full title :Applications of multi-objective evolutionary algorithms / editors, Carlos A. Coello Coello, Gary B. Lamont.
Summary
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.
Read More ↓Edition Statements
- Publication Date:©2004.
Publication Statements
- Publisher(s):World Scientific
- Place of Publication:Singapore
- Language:eng
- Publication Date:©2004.
The Physical Object
- Description:1 online resource (xxvii, 761 pages) : : illustrations
Edition Identifiers
- ISBN:9812567798, 9789812567796, 9812561064, 9789812561060, 1281880841, 9781281880840, 9786611880842, 6611880844
- oclc:ocm63196349
- LC Classification:QA402.5
- Dewey Decimal:512.2
Table of Contents
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 -- Ap…
Read More ↓Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Files & Downloads
-
Applications Of Multi-Objective Evolutionary Algo…
PDF · 35.2 MB · updated -
Applications of multi-objective evolutionary algo…
DJVU · 13.5 MB · updated
Rate & Review