Benchmark antenna problems for evolutionary optimization algorithms

被引：26

作者：

Pantoja, Mario Fernandez ^{[1
]}

Bretones, Amelia Rubio ^{[1
]}

Martin, Rafael Gomez ^{[1
]}

机构：

[1] Univ Granada, Fac Ciencias, Dept Electromagnet, E-18071 Granada, Spain

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2007年 / 55卷 / 04期

关键词：

antennas; genetic algorithms (GAs); optimization methods; particle swarm; PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHMS;

D O I：

10.1109/TAP.2007.893396

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A set of antenna-optimization problems is presented that satisfies the necessary requirements to form a test suite useful for measuring and comparing the performance of different evolutionary optimization algorithms (EAs) when they are applied to solve complex electromagnetic problems. The ability of the proposed test suite to find strong and weak points of any EA is illustrated by a complete study of four broadly used evolutionary algorithms carried out with the aid of the new test functions.

引用

页码：1111 / 1121

页数：11

共 35 条

[1] [Anonymous], P GEN EV COMP C GECC
[2] [Anonymous], 1997, Handbook of evolutionary computation, Release
[3] [Anonymous], 1995, Evolution and Optimum Seeking", Ed
[4] [Anonymous], 1996, SFITR9502010
[5] Balanis CA., 2015, Antenna Theory: Analysis and Design, V4
[6] BEYER HG, 1997, HDB EVOLUTIONARY COM
[7] Particle swarm optimization versus genetic algorithms for phased array synthesis
Boeringer, DW
Werner, DH
[J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2004, 52 (03) : 771 - 779
[8] Booker L.B., 1997, Handbook of Evolutionary Computation, V97/1
[9] Burke G.J., 1981, NUMERICAL ELECTROMAG
[10] Investigation of simulated annealing, ant-colony optimization, and genetic algorithms for self-structuring antennas
Coleman, CM
Rothwell, EJ
Ross, JE
[J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2004, 52 (04) : 1007 - 1014

← 1 2 3 4 →