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- 一种求解Job-Shop调度问题的 混合自适应变异粒子群算法 -Solving Job-Shop scheduling problem by hybrid particle swarm optimization with adaptive mutation
jobshop
- 使用遗传算法和粒子群算法共同解决混合车间作业调度问题的文章-The use of genetic algorithm and particle swarm algorithm to solve the articles of the Hybrid Job Shop Scheduling Problem
Extremal-Optimization5
- 极值优化论文5：嵌入极值优化的混合粒子群优化算法。嵌入极值优化的混合粒子群优化算法.-Extreme optimization papers 5: embedded global optimization hybrid particle swarm optimization algorithm. Embedded in the the Extremal Optimization hybrid particle swarm optimization algorithm.
TSP
- 总结的混合粒子群算法、蚁群算法、遗传算法求TSP（旅行商问题）,值得看一看-Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look
Stochastic-characterization-vehicles
- 包含插入式电动汽车的电能市场的随机特性，将电力市场调度抽象为混合整数的形式 非线性规划，采用了基于启发式的粒子群优化方法来解 为解决方案策略。-Stochastic characterization of electricity energy markets including plug-in electric vehicles