Optimization of allocation of network resourceUenetic algorithm 多业务网络资源配置优化遗传算法As the next-generation network architecture becomes more and more complex and the applications become more diverse, how to improve the performance of the network becomes a big problem that we must solve. One...
3, genetic algorithm interval reactive power optimization model. 在求解过程中需要利用基于仿射算术的区间潮流算法来获取状态变量的区间,以判断当前的状态变量是否满足约束条件,采用区间潮流算法计算网损区间的中点值,用于排序筛选经济性较好的控制策略. In the solution process requires the use of state variables to...
Learn how to find global minima to highly nonlinear problems using the genetic algorithm. Resources include videos, examples, and documentation.
Genetic algorithm solver for mixed-integer or continuous-variable optimization, constrained or unconstrained Genetic algorithm solves smooth or nonsmooth optimization problems with any types of constraints, including integer constraints. It is a stochastic, population-based algorithm that searches randomly by ...
Portfolio selection using genetic algorithm Journal of Applied Finance and Banking (2012) S. Teimouri et al. Investment and bank credit recovery after banking crises Journal of Financial Stability (2016) C. Agarana et al. Optimization of bank loan portfolio management using goal programing technique...
the weights related to the criteria are determined with the improved analytic process( IAHP) .Firstly,a single- criteria optimal model is set up by transforming multi- criteria to single- criterion.Secondly,a genetic algorithm for the model is designed.Lastly,an example is given,which proves ...
基于遗传算法的动态联盟性能标准优化方法 An Optimization Method for the Standard of Agile Virtual Enterprise Performance Based on Genetic Algorithm,基于遗传算法的动态联盟性能标准优化方法 An Optimization Method for the Standard of Agile Virtual Enterprise Performance Based on Genetic Algorithm,An,Optimization,...
Population-based evolutionary algorithms, such as the well-known algorithm NSGA-II [25], are especially suitable for these problems, since they evolve a set of solution candidates in a single run. Here, NSGA-II handles the optimization of the timetable strategy. Individuals are represented as a...
Mohan. A real coded genetic algorithm for solving integer and mixed integer optimization problems. Applied Mathematics and Computation, 212 (2009), 505–518. 'crossoverheuristic' returns a child that lies on the line containing the two parents, a small distance away from the parent with the ...