Archimedes Optimization Algorithm Combining Sin Chaos and Segmented Weights
LUO Shihang, HE Qing
1.College of Big Data & Information Engineering, Guizhou University, Guiyang 550025, China
2.Guizhou Big Data Academy, Guizhou University, Guiyang 550025, China
LUO Shihang, HE Qing. Archimedes Optimization Algorithm Combining Sin Chaos and Segmented Weights[J]. Computer Engineering and Applications, 2022, 58(14): 63-72.
[1] KHAN A H,LI S,LUO X.Obstacle avoidance and tracking control of redundant robotic manipulator:an RNN-based metaheuristic approach[J].IEEE Transactions on Industrial Informatics,2020,16(7):4670-4680.
[2] PRECUP R E,DAVID R C,PETRIU E M.Grey wolf optimizer algorithm-based tuning of fuzzy control systems with reduced parametric sensitivity[J].IEEE Transactions on Industrial Electronics,2016,64(1):527-534.
[3] ZHANG Z,HU F,ZHANG N.Ant colony algorithm for satellite control resource scheduling problem[J].Applied Intelligence,2018,48(10):3295-3305.
[4] CIVICIOGLU P,BESDOK E.BERNSTAIN-search differential evolution algorithm for numerical function optimization[J].Expert Systems with Applications,2019,138:112831.
[5] JIANG X,LIN Z,HE T,et al.Optimal path finding with beetle antennae search algorithm by using ant colony optimization initialization and different searching strategies[J].IEEE Access,2020,8:15459-15471.
[6] HASHIM F A,HUSSAIN K,HOUSSEIN E H,et al.Archimedes optimization algorithm:a new metaheuristic algorithm for solving optimization problems[J].Applied Intelligence,2021,51(3):1531-1551.
[7] 王坚浩,张亮,史超,等.基于混沌搜索策略的鲸鱼优化算法[J].控制与决策,2019,34(9):1893-1900.
WANG J H,ZHANG L,SHI C,et al.Whale optimization algorithm based on chaotic search strategy[J].Control and Decision,2019,34(9):1893-1900.
[8] 龙文,蔡绍洪,焦建军,等.求解大规模优化问题的改进鲸鱼优化算法[J].系统工程理论与实践,2017,37(11):2983-2994.
LONG W,CAI S H,JIAO J J,et al.Improved whale optimization algorithm for large scale optimization problems[J].Systems Engineering-Theory & Practice,2017,37(11):2983-2994.
[9] 李守玉,何庆,杜逆索.分段权重和变异反向学习的蝴蝶优化算法[J].计算机工程与应用,2021,57(22):92-101.
LI S Y,HE Q,DU N S.Piecewise weight and mutation opposition-based learning butterfly optimization algorithm[J].Computer Engineering and Applications,2021,57(22):92-101.
[10] 王海瑞,鲜于建川.改进麻雀搜索算法在分布式电源配置中的应用[J].计算机工程与应用,2021,57(20):245-252.
WANG H R,XIANYU J C.Application of distributed generation configuration based on improved sparrow search algorithm[J].Computer Engineering and Applications,2021,57(20):245-252.
[11] DOKEROGLU T,SEVINC E,KUCUKYILMAZ T,et al.A survey on new generation metaheuristic algorithms[J].Computers & Industrial Engineering,2019,137:106040.
[12] TIZHOOSHS H R.Opposition-based learning:a new scheme for machine intelligence[C]//Proc of Computational Intelligence for Modelling,Vienna,Austria,2005:695-701.
[13] DERRAC J,GARCIA S,MOLINA D,et al.A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms[J].Swarm & Evolutionary Computation,2011,1(1):3-18.
[14] 徐桂萍.基于维度学习策略的粒子群算法的研究与应用[D].长春:吉林大学,2019.
XU G P.Study on particle swarm optimization based with dimensional learning strategy[D].Changchun:Jilin University,2019.
[15] 王联国,刘小娟.基于采蜜机制的正弦余弦算法及其在机械优化设计中的应用[J].中国机械工程,2021,32(21):2577-2589.
WANG L G,LIU X J.Sine cosine algorithm based on the honey gathering mechanism and its application in mechanical optimal design[J].China Mechanical Engineering,2021,32(21):2577-2589.
[16] 江铭炎,袁东风.人工蜂群算法及其应用[M].北京:科学出版社,2014.
JIANG M Y,YUAN D F.Artificial bee colony algorithm and its application[M].Beijing:Science Press,2014.