book · Advances in natural computation · 2004

Applications of Multi-Objective Evolutionary Algorithms

Cited by 529Abstract and details only

Abstract

An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach Using a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic Circuits Automatic Control System Design via a Multiobjective Evolutionary Algorithm Evolutionary Multi-Objective Optimization of Trusses A Multi-Objective Evolutionary Algorithm for the Covering Tour Problem Multiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic Algorithms Mutli-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient Determination On Machine Learning with Multiobjective Genetic Optimization and other papers.

Cite this paper

APA 7

Coello, C. A. C., & Lamont, G. B. (2004). Applications of Multi-Objective Evolutionary Algorithms. Advances in natural computation. https://doi.org/10.1142/5712

MLA 9

Coello, Carlos A. Coello, and Gary B. Lamont. “Applications of Multi-Objective Evolutionary Algorithms.” Advances in natural computation, 2004, https://doi.org/10.1142/5712.

Chicago

Coello, Carlos A. Coello, and Gary B. Lamont. 2004. “Applications of Multi-Objective Evolutionary Algorithms.” Advances in natural computation. https://doi.org/10.1142/5712.

Harvard

Coello, C.A.C. and Lamont, G.B. (2004) ‘Applications of Multi-Objective Evolutionary Algorithms’, Advances in natural computation. Available at: https://doi.org/10.1142/5712.

BibTeX

@book{coello2004applications,
  title = {{Applications of Multi-Objective Evolutionary Algorithms}},
  author = {Coello, Carlos A. Coello and Lamont, Gary B.},
  publisher = {Advances in natural computation},
  year = {2004},
  doi = {10.1142/5712}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.