Research on a Novel Biogeography-Based Optimization Algorithm Based On GA

Authors

Wang Ning, School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China;
Lisheng Wei, School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China;

Abstract

Abstract: In order to further improve the optimization ability of biogeography-based optimization algorithm, a new genetic algorithm is proposed. The selection operation is added before the migration operation, and the migration individual is selected by the method of "roulette", so that the individuals with higher fitness can be preferentially migrated. The mutation operation combines the genetic gaussian mutation method, and the optimization performance of the algorithm is improved. The convergence condition of the method is derived in theory. Five test functions are used in the experiments, and the results prove that the ameliorated algorithm is better at the results of optimization and rate of convergence.

Recommended Citation

Ning, Wang and Wei, Lisheng (2020) "Research on a Novel Biogeography-Based Optimization Algorithm Based On GA," Journal of System Simulation: Vol. 32: Iss. 9, Article 10.
DOI: 10.16182/j.issn1004731x.joss.19-0087
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss9/10

First Page

1717

Revised Date

2019-04-21

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0087

Last Page

1723

CLC

TP18

Recommended Citation

Wang Ning, Wei Lisheng. Research on a Novel Biogeography-Based Optimization Algorithm Based On GA[J]. Journal of System Simulation, 2020, 32(9): 1717-1723.

DOI

10.16182/j.issn1004731x.joss.19-0087