A hybrid evolutionary programming approach for optimal worst case tolerance design of magnetic devices

被引：2

作者：

Salcedo-Sanz, Sancho ^{[1
]}

Perez-Bellido, Angel M. ^{[1
]}

Ortiz-Garcia, Emilio G. ^{[1
]}

Portilla-Figueras, Jose A. ^{[1
]}

Jimenez-Fernandez, Silvia ^{[1
]}

机构：

[1] Univ Alcala de Henares, Dept Signal Theory & Commun, Alcala De Henares 28871, Spain

来源：

APPLIED SOFT COMPUTING | 2012年 / 12卷 / 08期

关键词：

Evolutionary programming; Hybrid algorithms; Tolerance analysis; Tolerance design; DIFFERENTIAL EVOLUTION; OPTIMIZATION; ALGORITHMS;

D O I：

10.1016/j.asoc.2012.03.048

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a hybrid evolutionary programming approach to solve the worst case tolerance design problem (WCTDP) in magnetic devices. The hybrid algorithm is formed by a basic evolutionary programming approach, mixed with a gradient-guided local search. Two different local searches procedures are tested in the paper, both specially designed to be effective in the WCTDP. Simulations on an example in the design of a magnetic circuit and comparison with several existing bio-inspired heuristics are carried out, and have shown the goodness of our algorithm. (C) 2012 Elsevier B. V. All rights reserved.

引用

页码：2425 / 2434

页数：10

共 21 条

[1] An Overview of Evolutionary Algorithms for Parameter Optimization
Baeck, Thomas
Schwefel, Hans-Paul
[J]. EVOLUTIONARY COMPUTATION, 1993, 1 (01) : 1 - 23
[2] Birru H. K., 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), P1506, DOI 10.1109/CEC.1999.782662
[3] Particle swarm optimization with adaptive population size and its application
Chen DeBao
Zhao ChunXia
[J]. APPLIED SOFT COMPUTING, 2009, 9 (01) : 39 - 48
[4] Worst-case and statistical tolerance analysis based on quantified constraint satisfaction problems and Monte Carlo simulation
Dantan, Jean-Yves
Qureshi, Ahmed-Jawad
[J]. COMPUTER-AIDED DESIGN, 2009, 41 (01) : 1 - 12
[5] Automatic image pixel clustering with an improved differential evolution
Das, Swagatam
Konar, Amit
[J]. APPLIED SOFT COMPUTING, 2009, 9 (01) : 226 - 236
[6] Eberhart R, 2001, P IEEE C EV COMP
[7] Genetic optimization of interval arithmetic-based worst case circuit tolerance analysis
Femia, N
Spagnuolo, G
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 1999, 46 (12) : 1441 - 1456
[8] AN INTRODUCTION TO SIMULATED EVOLUTIONARY OPTIMIZATION
FOGEL, DB
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (01): : 3 - 14
[9] Golberg D. E., 1989, GENETIC ALGORITHMS S, V1989, P36
[10] A particle swarm optimization method with enhanced global search ability for design optimizations of electromagnetic devices
Ho, SL
Yang, SY
Ni, GZ
Wong, HC
[J]. IEEE TRANSACTIONS ON MAGNETICS, 2006, 42 (04) : 1107 - 1110

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