jlrunning的博客

MATLAB Genetic Algorithm Toolbox的介绍 Genetic algorithms (GAs) are stochastic global search and optimization methods that mimic the metaphor of natural biological evolution [1]. GAs operate on a population of potential solutions applying the principle of survival of the fittest to produce successively better approximations to a solution. At each generation of a GA, a new set of approximations is created by the process of selecting individuals according to their level of fitness in the problem domain and reproducing them using operators borrowed from natural genetics. This

ABSTRACT A mixture of techniques is presented in order to solve The Physical Traveling Salesperson Problem for GECCO-2005 Competition. The method of solution is divided in two principal parts. The first part is to find a good tour using the Classic Travel Salesman problem with a Cross Entropy algorithm and the second part is an heterogeneous mixture of distinct evolutionary algorithms that are specially designed and tuned for this problem.

EXTEND是一个很简朴但实用经济、建模效率很高、扩展性很好的仿真软件，性价比和众多技术性能指标在主流仿真软件中比较突出，深受重视实效的企业欢迎。进入中国很短时间之内，已经被英特尔、ABB、佳能、宝钢 、诺基亚等世界500强企业和众多最具潜力的中小企业采纳，应用领域已经涵盖电子、机械、钢铁、物流、交通等领域。