THE IMPROVED ANT COLONY ALGORITHM BASED ON THE OPTIMAL DESIGN OF TRUSS STRUCTURE
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摘要: 通过对已有的优化方法进行分析,针对蚁群算法容易收敛到局部最优解的缺陷,通过遗传算法和禁忌算法来提高增加蚁群算法的全局优化能力,并改进了算法的灵活性和扩展性;将改进的蚁群算法应用到桁架结构优化设计中,提出了桁架结构优化设计的改进蚁群算法,并建立了相应的优化模型;最后,对10杆平面桁架的优化进行了研究和分析,结果表明,提出的改进蚁群算法是科学可行的。Abstract: By having an analysis of the existing optimization method,aiming at the defect of the easy convergence of the ant colony algorithm's local optimal solution,this paper presents an improved ant colony a algorithm.It could enhance the global optimization ablility of ant colony optimization by genetic algorithm and taboo search.Which could improve the flexibility and expansibility of the arithmetic.It is applied to a design of truss structures,thus building a corresponding model.At last,the study and analysis show that the improved ant colony algorithm is well-grounded on the easy optimization of a ten-bar plane truss.
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Key words:
- truss /
- optimal design /
- ant colony algorithm
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