Verification of the Genetic Algorithm by Benchmark of Darrell Whitley

Mahdi Mohammadi Farsam¹ masoud mahmodabadi² Mohammadreza Adlparvar³

1) MSc.Student, Department of Civil Engineering University of Qom
2) Assistant Professor, Department of Civil Engineering, Faculty of Engineering, University of Qom
3) Assistant Professor, Department of Civil Engineering, Faculty of Engineering, University of Qom

IOI Code : XYKB-BKZCB
Publication : 2nd.International Conference on Civil Engineering, Architecture and Urban Design 31 Aug. 2017, Kasem Bundit University , Bangkok , Thailand(2iccacs.com)
Abstract :
    Genetic algorithm (GA) is general method of meta-heuristic methods for discrete optimization. This algorithm is searching technique in computer science to find optimal solution and search issues. Genetic algorithm is one of evolutionary algorithms inspired by biology science such as inheritance, mutation, natural selection and combination.This difference emerges in the chromosomes of this creature and causes many varieties in the structure and behavior of this creature. This various structure and behavior have many effects on the procreation. Creatures than have ability to do many activities in the environment (more evolved creatures) have high rate of procreation;normally creatures that have less compatibility with the environment have less rate of procreation. After passage of a few periods and a few generations, the population tends to include the creature whose chromosomes have more compatibility with surrounding environment.Over time, the structure of people in the society changes due to natural selection and this is sign of the evolution of the population.

Keywords : genetic algorithm verification optimization matlab