Title :
Electromagnetic Device Optimization using Improved Differential Evolution Methods
Author :
Coelho, Leandro Dos Santos ; Alotto, P.
Author_Institution :
Production & Syst. Eng. Graduate Program, Pontifical Catholic Univ. of Parana
Abstract :
Recently, evolutionary algorithms (e.g. genetic algorithms, evolutionary programming, and evolution strategies) have proven to be useful tools for the optimization of difficult problems in electromagnetics. Differential evolution (DE) is one comparatively simple variant of an evolutionary algorithm using floating-point encoding and few control parameters. This work presents improved DE algorithms based on linearly time varying control parameters, sinusoidal functions, and diversity analysis of population
Keywords :
electromagnetic devices; evolutionary computation; optimisation; time-varying systems; differential evolution methods; diversity analysis; electromagnetic device optimization; evolutionary algorithm; floating-point encoding; linearly time varying control parameters; sinusoidal functions; Algorithm design and analysis; Convergence of numerical methods; Differential equations; Electromagnetic devices; Encoding; Evolutionary computation; Optimization methods; Testing; USA Councils; Writing;
Conference_Titel :
Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
Conference_Location :
Miami, FL
Print_ISBN :
1-4244-0320-0
DOI :
10.1109/CEFC-06.2006.1633085
