摘要
在焊接工艺中,优化设计已经涉及到各个领域,但传统的优化算法往往优化效果不佳,智能优化算法特别是遗传算法已经逐步地应用到焊接优化领域,并成为一个重要的研究方向。在对焊接相关文献进行系统研究的基础上,阐述了焊接优化设计领域应用较为广泛的遗传算法、模拟退火算法和群集算法(蚁群算法和粒子群算法)等几种智能优化算法的基本原理,介绍了智能优化算法在焊接领域组合优化、自动控制、生产调度和图像处理等方面的应用情况。对智能优化算法在焊接优化设计领域应用的未来研究方向进行了展望。
Optimization design is involving all aspects of weiding technology,but traditional optimization algorithms are often not well.Intelligent optimization algorithm,especially Genetic Algorithm,is already used in weiding,which is a highlighted research direction,however,papers about the overview of this field are very few.Based on the systematic research on related literatures,the paper presented the basic principle of several intelligent optimization algorithms widely used in Welding optimization design,including Genetic Algorithm and Simulated Annealing Methods as well as Swarm Intelligence Algorithm（Ant Colony and Particle Swarm）.Then,the paper introduced applications of combinatorial optimization,production scheduling,automatic control and image processing in welding with intelligent optimization algorithms.In the end,the paper discussed the development directions of intelligent optimization algorithm in Welding optimization design.
出处
《电焊机》
北大核心
2011年第6期67-72,共6页
Electric Welding Machine
关键词
智能优化算法
焊接
遗传算法
模拟退火算法
群集算法(蚁群和粒子群)
intelligentoptimization algorithm
welding
genetic algorithm
simulated annealing methods
swarm intelligence algorithm（ant colony and particle swarm）
