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Applications of Multi-Objective Evolutionary Algorithms

Coello, Carlos A Coello, Lamont, Gary B·2004·Advances in Natural Computation

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.

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Metadata

Authors
Coello, C. A. C., & Lamont, G. B.
Venue
Advances in Natural Computation
Published
2004-12
ISSN
2010-295X (ISSN-L)
OpenAlex
W1502374754
Cited by
531
References
0
FWCI
5.83
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Applications of Multi-Objective Evolutionary Algorithms. https://app.cochat.ai/papers/10.1142/5712
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Coello, C. A. C., & Lamont, G. B. (2004). Applications of Multi-Objective Evolutionary Algorithms. Advances in Natural Computation. https://doi.org/10.1142/5712

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