An improved genetic algorithm for global optimization of electromagnetic problems

IEEE Transactions on Magnetics

Volumn 37, Issue 5, 2001, Pages 3579-3583

  Xudong, Chen ^a   Jingen, Qian ^a   Guangzheng, Ni ^a   Shiyou, Yang ^a   Mingliu, Zhang ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Charge simulation method; Genetic algorithm; Global optimization; Stochastic algorithm

Indexed keywords

COMPUTER SIMULATION; ELECTROMAGNETIC FIELD THEORY; ITERATIVE METHODS; MAGNETIC DEVICES; OPTIMIZATION; PROBLEM SOLVING; RANDOM PROCESSES;

CHARGE SIMULATION METHOD; CLASSICAL MATHEMATICAL PROBLEM; ELECTROMAGNETIC PROBLEMS; STOCHASTIC ALGORITHMS;

GENETIC ALGORITHMS;

EID: 0035440477     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/20.952666     Document Type: Article

References (7)

1. Empirical studies on the speed of convergence of the neural network training by genetic algorithm
2. Fitness sharing and niching methods revisited
3. Global optimization and simulated annealing
4. A universal tabu search algorithm for global optimization of multimodal functions with continuous variables in electromagnetics