Scheduling Based on An Ant Colony Algorithm with Crossover Operator

被引：0
|
作者：
Li, Qi [1 ]
Ba, Wei [2 ]
Liu, Jialin [1 ]
机构：
[1] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
[2] Dalian Sci Test & Control Technol Inst, Dalian, Peoples R China
来源：
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING III | 2014年 / 678卷
关键词：
Ant colony algorithm; Crossover operator; Gasoline blending; Recipe optimization; OPTIMIZATION; MODEL;
D O I：
10.4028/www.scientific.net/AMM.678.47
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
An ant colony algorithm with crossover operator was presented in this paper. The new algorithm introduced crossover operator into the ant colony algorithm and improved the global search ability. In the process of local searching, the new algorithm applied the Hooke-Jeeves algorithm to improve the performance of the convergence speed. Gasoline blending is a key process as the blending recipe determined the profits in refineries. The proposed algorithm is applied to solve this problem, the simulation results show that the ideal blending recipes can be found and the maximum profit can be got with a little margin of quality index in gasoline blending.
引用
收藏
页码：47 / +
页数：2
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