C++ implementation of a Genetic algorithm (GA). A population of binary chromosomes is generated randomly to attempt to solve the Weighted MAX SAT Problem. Parameters of crossover, mutation, population size can be control

遗传算法 整个流程清晰明了 属于课程提交作业 有点精简-Clarity of the genetic algorithm process is a little program to streamline the job submission

GA比起SA ，最大的优势在于对个初始解，而且存在杂交和变异，让SA具有非常强的跳出局部最优解的能力。而且简单通用，健壮性强。但是待定的参数很多，而且计算速度比较慢。选择，杂交，变异算子的选取也很关键。-GA than SA, the biggest advantage of an initial solution, and there is hybridization and mutation, so that SA has a ve

采用遗传算法解决一个 MAX 3-SAT 问题，获得最优解。-to achieve best solution in solving MAX 3-SAT problem using genetic algorithm.