摘要
针对钢铁生产中为减轻混装的影响在冷热板坯混装处空炉的情况,以提高成品质量、降低能耗为目标,建立了混装工艺下并行加热炉调度的数学模型,并提出了基于粒子群算法和邻域搜索技术的混合算法,仿真实验验证了算法的可行性和有效性。
Considering the way of uncharged between the cold and hot slabs to ease the impact of mixing charge, a model of parallel reheating furnaces scheduling in mixing charge is established and it takes improving the quality of final products and reducing the energy consumption of reheating furnaces as the goal. Besides, a hybrid algorithm based on PSO and local search is developed and simulation results verify the feasibility and the validity.
出处
《中国管理信息化》
2009年第21期50-52,共3页
China Management Informationization
关键词
加热炉调度
并行机
粒子群优化算法
邻域搜索
Reheating Furnaces Scheduling
Parallel Machines
Particle Swarm Optimization
Local Search
