摘要
无委托板坯与合同匹配是一个非线性的、带有约束的、多目标优化问题,用传统的算法难以实时性地求出满意解;为此,将基于修复策略的改进式多目标遗传算法作为求解策略,既保证了约束条件的满足,又保证了收敛速度。将该算法应用于某企业热送装工艺流程的无委托板坯与合同匹配模型中,获得了比较理想的仿真效果,实现了在线优化匹配,从而验证了该算法的实用性和灵活性,为更科学更合理地进行板坯与合同优化匹配提供了一个途径。
To the problem that the match of no-entrusted slabs and contracts is a nonlinear multi-objective optimization problem with constraint and is difficult to work out satisfying solution by traditional algorithms in real time, the improved multi-objective genetic algorithm based on restoring strategy is used to meet the constraint condition and ensures the convergent speed. The algorithm is applied to the match model of no-entrusted slabs and contracts in the hot rolling eraftwork flow of an enterprise, The simulation result shows that the online optimization match is realized, and the algorithm is adaptive and flexible and provides a new approach to match the slabs and contracts more scientifically and more reasonably.
出处
《控制工程》
CSCD
2008年第1期95-98,102,共5页
Control Engineering of China
关键词
无委托
匹配
非线性
多目标优化
遗传算法
no-entrust
match
nonlinearity
mnlti-objective optimization
genetic algorithm
