Hybrid Estimation of Distribution Algorithm Using Local Function Approximations

F Campelo; FG Guimaraes; JA Ramirez; H Igarashi

doi:10.1109/TMAG.2009.2012741

Hybrid Estimation of Distribution Algorithm Using Local Function Approximations

F Campelo, FG Guimaraes, JA Ramirez, H Igarashi

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we introduce an approach for the design of electromagnetic devices based on the use of estimation of distribution algorithms (EDAs), coupled with approximation-based local search around the most promising solutions. The main idea is to combine the power of EDAs in the solution of hard optimization problems with the faster convergence provided by the local search using local approximations. The resulting hybrid algorithm is tested on a numerical benchmark problem.

Original language	English
Pages (from-to)	1558-1561
Journal	IEEE Transactions on Magnetics
Volume	45
Issue number	3
DOIs	https://doi.org/10.1109/TMAG.2009.2012741
Publication status	Published - Mar 2009

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10.1109/TMAG.2009.2012741

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title = "Hybrid Estimation of Distribution Algorithm Using Local Function Approximations",

abstract = "In this paper, we introduce an approach for the design of electromagnetic devices based on the use of estimation of distribution algorithms (EDAs), coupled with approximation-based local search around the most promising solutions. The main idea is to combine the power of EDAs in the solution of hard optimization problems with the faster convergence provided by the local search using local approximations. The resulting hybrid algorithm is tested on a numerical benchmark problem.",

author = "F Campelo and FG Guimaraes and JA Ramirez and H Igarashi",

year = "2009",

month = mar,

doi = "10.1109/TMAG.2009.2012741",

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journal = "IEEE Transactions on Magnetics",

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AU - Guimaraes, FG

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AU - Igarashi, H

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N2 - In this paper, we introduce an approach for the design of electromagnetic devices based on the use of estimation of distribution algorithms (EDAs), coupled with approximation-based local search around the most promising solutions. The main idea is to combine the power of EDAs in the solution of hard optimization problems with the faster convergence provided by the local search using local approximations. The resulting hybrid algorithm is tested on a numerical benchmark problem.

AB - In this paper, we introduce an approach for the design of electromagnetic devices based on the use of estimation of distribution algorithms (EDAs), coupled with approximation-based local search around the most promising solutions. The main idea is to combine the power of EDAs in the solution of hard optimization problems with the faster convergence provided by the local search using local approximations. The resulting hybrid algorithm is tested on a numerical benchmark problem.

UR - https://ieeexplore.ieee.org/document/4787332

U2 - 10.1109/TMAG.2009.2012741

DO - 10.1109/TMAG.2009.2012741

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JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

IS - 3

ER -

Hybrid Estimation of Distribution Algorithm Using Local Function Approximations

Abstract

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Best Poster Paper Award

13th Biennial IEEE Conference on Electromagnetic Field Computation

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Hybrid Estimation of Distribution Algorithm Using Local Function Approximations

Abstract

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Prizes

Best Poster Paper Award

Activities

13th Biennial IEEE Conference on Electromagnetic Field Computation

Cite this