一篇关于智能优化调度的博士论文，其中包括对蚁群、遗传、粒子群等多种算法的研究-Intelligent Scheduling an article about the doctoral thesis, including ant colonies, genetic, and other particle swarm algorithm

针对港口拖轮调度所设计的遗传混合局部搜索算法代码，优化拖轮调度方案，matlab语言编写-Port tugboats are designed for scheduling the genetic code hybrided with local search algorithm to optimize the scheduling program,written by Matlab

遗传-套粒子群算法用于解决经济调度问题。(Genetic set particle swarm optimization algorithm is used to solve the problem of economic dispatch.)

文章以含有蓄电池、光伏、风机以及负荷的微电网为研究对象，在考虑蓄电池充放电约束、微电网与电网功率交换约束等条件下，建立了以负荷平均供电单价最小为目标的日前优化调度模型。并利用改进交叉算子的遗传算法进行求解。以某典型微电网为例进行建模与求解，得到了微电网日前优化调度方案，实现了微电网的经济稳定运行(Taking the micro-grid with storage battery, photovoltaic, fan and load as the research object, consid

将节点按内存情况排序 将任务按内存需求情况排序 规则：将内存需求最小的节点先行分配在内存剩余最多的节点上(Sort nodes by memory and tasks by memory requirements Rule: the node with the least memory requirement is allocated to the node with the most remaining memory)