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《Journal of South China University of Technology(Natural Science Edition)》 2014-01
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Concept and Solving Method of Practicable Optimal Point

Gao Li-qun;Kong Xiang-yong;Ouyang Hai-bin;Zou De-xuan;College of Information Science and Engineering,Northeastern University;School of Electrical Engineering and Automation,Jiangsu Normal University;  
From the viewpoint of engineering practice,a concept of practicable point is proposed to solve optimization problems. However,in a certain situations,not only the global extreme points of the objective function but also the characteristics of objective function in the extreme point neighborhood should be considered. In view of this problem,a concept of practicable optimal point,namely the global optimal point with a neighborhood constraint,is further proposed. Moreover,as neighborhood constraint is difficult to obtain with traditional methods,an approximate method based on neighborhood sampling is put forward,and a rapid search algorithm based on the particle swarm optimization is presented to find the practicable optimal points meeting different requirements. Simulated results indicate that both the proposed practicable optimal point and the corresponding search algorithm are of feasibility,and that the search algorithm is effective in searching the practicable optimal point.
【Fund】: 国家自然科学基金资助项目(61273155)
【CateGory Index】: TP301.6
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【Citations】
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1 Zhang Quan1,2 Wen Hui-ying3 Sun Bo3(1.School of Highway,Chang'an University,Xi'an 710064,Shaanxi,China;2.Guangdong Provincial Highway Administration,Guangzhou 510075,Guangdong,China;3.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China);Improved Particle Swarm Optimization Algorithm of Ergodic Model for Routing Planning of Delivery Vehicle Navigation[J];Journal of South China University of Technology(Natural Science Edition);2011-08
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1 Li Dongze(Beijing Institute of Spacecraft System Engineering,Beijing 100094,China)Yu Dengyun(China Academy of Space Technology,Beijing 100094,China)Ma Xingrui(Chinese Space Science and Technology Group Co,Beijing 100037,China);Truss topology optimization with uncertain loading scenarios[J];Journal of Beijing University of Aeronautics and Astronautics;2009-10
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