实现遗传算法的基本历程，可以自由修改变异概率，交叉概率，迭代次数等-Basic Course genetic algorithm, can be freely modified mutation probability, crossover probability, the number of iterations

粒子群优化算法，可实现基本粒子群无约束优化。-Particle Swarm Optimization (PSO), which can realize basic particle swarm unconstrained optimization.

Identification of the most likely gene or genes through which variation at a given genomic locus in the human genome acts. The most basic functionality assumes that the closer gene is to the input locus, the more likely the gene is to be causative. A