基于改进型遗传算法的能源模糊优化的研究

将模糊优化的概念引入能源模型中,将多目标能源模型中的能源、经济和环境3个目标函数的约束条件模糊化,并定义了由惩罚函数和目标函数组成的新目标函数.针对该模糊多目标优化模型,采用改进型遗传算法进行求解,在适应度函数以及其它遗传操作的设计上做了改进.实验表明,这种遗传算法是一种性能优良的解决能源优化问题的启发式搜索算法,可以快速有效的求得能源优化问题的最优解,进而得到能源的最佳配置.

Fuzzy optimization of energy by improved genetic algorithm

Fuzzy optimization is introduced into energy models.Constraints of the energy,economic and environmental in multi-objective model of energy are fuzzed.And they defined the new objective function by the composition of penalty Function and the ob-jective function.In view of the fuzzy multi-objective optimization model,they improved genetic algorithm.It made improvements in the design of the fitness function and genetic manipulation.Experiments show that the genetic algorithm is an excellent heuristic algorithm to solve energy optimization.It can achieve the optimal solution of the energy optimization problem quickly and effectively.And then it can find the best allocation of energy.