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Yancang Li,Muxuan Han,Qinglin Guo 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.12
In this paper, a novel modified whale optimization algorithm based on Tent chaos map and tournament selection strategy (MWOA) was presented. The aim of the improved algorithm is to reduce the possibility of the standard whale algorithm falling into local optimal. During the initialization of the population, in order to increase population diversity and randomness, MWOA cites the Tent chaos map. In the optimization process, in order to improve the development ability of the standard algorithm, the tournament selection strategy was employed to improve the algorithm accuracy. Numerical simulation and example calculation results show that the improved algorithm is superior to the standard WOA algorithm. The improved method provides a new method for truss structure optimization.
Yancang Li,Sida Lian 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.12
In order to find a more effective method for the structural optimization, an improved fruit fly Optimization Algorithm was proposed. The dynamic adjustment search, the inertia weight function and the tabu search theory were employed to overcome the premature flaw of the basic algorithm. Then, the improved algorithm was introduced to the structural optimization of the tube- type trestle. After the setup of the optimization model, the improved algorithm was used. Optimization results and comparison with other algorithms show that the stability of improved fruit fly Optimization Algorithm is apparently improved and the efficiency is obviously remarkable. This study provides a more effective solution to structural optimization problems.
Application of Improved Bat Algorithm in Truss Optimization
Li Yancang,Yan Zhen 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.6
In order to find a more effective intelligent method for truss optimization, we proposed an improved bat algorithm and introduced it into truss optimization. The initial population was optimized by using the good point set weighted approach in bat optimization formula. Individuals with high fitness were retained and individuals with low fitness were eliminated. And the learning factor was introduced to enhance the global search ability of bat algorithm. The improved BA (bat algorithm) was applied to the topology optimization of truss and the optimization results were compared with other algorithms. Experiments show that the improved bat algorithm has better global optimization ability. This study provides an efficient algorithm for structural optimization.
Resource Dynamic Scheduling in Coalmining Engineering Based on ACO
LI Yancang,SUO Juanjuan,Zhou shujing 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
To solve the problem of resource scheduling in coalming engineering the Art Colony Optimization (ACO) algorithm was introduced. First, the similarities between resoruce dynamic scheduling problem and ant’s food-seeking were analyzed and the meta-information was defined. second, the dynamic scheduling model was set up. Engineering practice showed that the resources can be allocated timely, dynamically and rationally by using this algorithm. The method can also be introduced into other related sphere.