Assembly Workshops Scheduling Optimization Based on Advanced Greedy Randomized Adaptive Search Procedure(GRASP) 基于改进贪婪随机自适应算法的车间调度优化
A greedy randomized adaptive search procedure is presented to tackle the independent tasks assignment problem in heteroge-neous environments. 提出了一种贪婪随机自适应搜索过程求解异构环境下的独立任务分配问题。
Greedy randomized adaptive search procedure ( GRASP ) is a high-efficient heuristic randomly iterative algorithm, which can effectively solve the combinatorial optimization problem of transmission network planning. Each iteration includes a construction and a local search phase. 基于贪婪随机自适应搜索法(GRASP)能有效地解决电网规划的组合优化问题,其每一次迭代包含构造和局域搜索两阶段。
Greedy randomized adaptive search procedure for independent tasks assignment 独立任务分配的贪婪随机自适应搜索过程
Application of Greedy Randomized Adaptive Search Procedure(GRASP) in Transmission Network Planning 贪婪随机自适应搜索法在电网规划中的应用