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《Computer Engineering and Applications》 2015-09
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Application of modified penalty function method and bats algorithm in constrained optimization

LIU Yunlian;WU Tiebin;WANG Junnian;ZHOU Taoyun;CHENG Yun;Department of Information Science and Engineering, Hunan University of Humanities Science and Technology;College of Information and Electrical Engineering, Hunan University of Science and Technology;Department of Electrical and Mechanical Engineering, Hunan University of Humanities Science and Technology;  
A solving method for constrained optimization problem based on adaptive penalty function and improved bats algorithm is designed. An adaptive penalty function method is proposed, which both takes the circumstances of constraint violations and characteristics of evolutionary process into consideration. The more frequently a constraint is violated, the more powerful it is, the larger penalty coefficient is given to it. The more infeasible solutions in the population, the smaller the constrain should be, in other words, the smaller the penalty coefficient should be, in order to keep the diversity of the population. An improved bats algorithm is proposed, which generates the initial population by using the ergodicity of chaos,and enhances the quality of the initial population and diversity of population. In the local search of bats algorithm which takes the pulse loudness into consideration, crossover operation is added. In order to prevent the algorithm from falling into local optimal solution in the late, variation operation is added, which ensures the diversity of the population. Then adaptive penalty function and improved bats algorithm are mixed to solve constrained optimization problem, and 4 complex standard test functions and 2 practical engineering problems prove the feasibility and effectiveness of the solving methods for constrained optimization problem.
【Fund】: 国家自然科学基金(No.60974048);; 湖南省重点建设学科资助;; 湖南省自然科学基金(No.12JJ2040);; 湖南省科技厅计划项目资助(No.2014GK3033 No.2013FJ6073);; 湖南省教育厅项目资助(No.13C435)
【CateGory Index】: TP18
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 Wu Zhiyuan, Shao Huihe\ Wu Xinyu;Annealing Accuracy Penalty Function Based Nonlinear Constrained Optimization Method with Genetic Algorithms[J];CONTROL AND DECISION;1998-02
2 Liu Yueting(School of Electronics and Information Engineering,Gansu Lianhe University,Lanzhou 730000,Gansu,China);SHUFFLED FROG LEAPING ALGORITHM BASED ON CHAOTIC AND DYNAMIC MUTATION[J];Computer Applications and Software;2012-12
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 SUN Yan feng 1, ZHENG Jia qi 1, WANG De xing 2, WU Hua 2 (1.College of Traffic and Transport, Northern Jiaotong University, Beijing 100044, China; 2.Daqing Electric Power Bureau, Daqing 163454,China);A Survey of Constraint Optimization Method Based on Genetic Algorithm[J];Journal of Northern Jiaotong University;2000-06
2 LI Hui 1, HAN Li 1, HE Bei 2 (1.Chongqing University, Chongqing 400044; 2.Chongqing Electric Power Company, Chingqing 400036, China);Optimum Design of S9 10kV Power Transformers Using an Improved Genetic Algorithm[J];Transformer;2001-05
3 LIBin1,MAO Yi-zhi1,LI Xin2 (1.Hebei University of Technology,Tianjin 300130,China; 2.Tianjin Professional College,Tianjin 300402,China);Application of Modified Ant Algorithm to Optimum Design of Power Transformer[J];Transformer;2006-03
4 LI Ke1,MA Xiao-yi2,GAN Xue-Tao2,Fu Shao-hua1(1.College of Electrical Engineering,Northwest A&F University,Yangling 712100,China;2.College of Water Resources and Architectural Engineering,Northwest A&F University,Yangling 712100,China);Electricity Distribution Structure and Conductor Cross Sections Simulataneous Optimization Method[J];Proceedings of the Chinese Society of Universities for Electric Power System and its Automation;2010-01
5 TAN Yong ji, ZENG Yi, CAO Wei (Institute of Mathematicis, Fudan University, Shanghai 200433, China);Using Hybrid Genetic Algorithm to Solve Constrained NLP[J];Journal of Fudan University;2000-05
6 HAN Li 1, LI Hui 1, YANG Shun chang 1, HE Bei 2 (1. College of Electrical Engineering, Chongqing University, Chongqing 400044, China; 2. Information Center,Yangjiaping Electric Power Bureau, Chongqing 400050, China);An Improved Genetic Algorithm for Optimum Design of Power Transformers[J];Journal of Chongqing University(Natural Science Edition);2002-09
7 ZHANG Zhiyuan (Daxian Teachers College, Da zhou, Si chuan, 635000);A Simulated Annealing Arithmetic Based on Uniform Design[J];Journal of Chongqing University(Natural Science Edition);2003-10
8 YAO Wei, TAN Hui feng, DU Xing wen (Center for Composite Materials, Harbin Institute of Technology, Harbin 150001,China);APPLICATION OF GENETIC ALGORITHM TO MULTIOBJECTIVE OPTIMIZATION OF TIRE STRUCTURE[J];Acta Materiae Compositae Sinica;2002-03
9 ZHOU Yun-peng1,TI Zheng-yi2 (1.College of Resource and Environment Engineering, Liaoning Technical University, Fuxin 123000,China; 2.Vocational College , Liaoning Technical University, Fuxin 123000,China);Application of genetic algorithm in combination optimization[J];Journal of Liaoning Technical University;2005-S1
10 Liao Li, Lin Jiaheng, Zhang Chenghui (School of Control Science & Engineering, Shandong University, Jinan 250061, China)[;Efficiency Optimization of Variable Frequency Variable Speed Water-supply Pumping Stations Based on Genetic Algorithm[J];Engineering Science;2002-09
【Secondary Citations】
Chinese Journal Full-text Database 6 Hits
1 OU Yanga,SUN Yuan-shub(a.Information and Education Technology Center;b.College of Computer Science and Engineering,Chongqing University of Technology,Chongqing 400054,China);Grid Task Schedule Strategy Based on Improved Shuffled Frog Leaping Algorithm[J];Computer Engineering;2011-21
2 ZHAO Peng-jun(Department of Mathematics and Computational Science,Shangluo University,Shangluo Shaanxi 726000,China);Shuffled frog leaping algorithm based on differential disturbance[J];Journal of Computer Applications;2010-10
3 ZHAO Peng-jun1,2,LIU San-yang2(1.Dept. of Mathematics & Computational Science,Shangluo University,Shangluo Shannxi 726000,China; 2.School of Science,Xidian University,Xi'an 710071,China);Shuffled frog leaping algorithm for solving complex functions[J];Application Research of Computers;2009-07
4 GE Yu1a,WANG Xue-ping1b,LIANG Jing2(1.a.Fundamental College,b.College of Mathematics & Soft Science,Sichuan Normal University,Chengdu 610068,China;2.Network Center,Chengdu Electromechanical College,Chengdu 610031,China);Adaptive chaotic mutation shuffled frog leaping algorithms[J];Application Research of Computers;2011-03
5 SHAN Liang, QIANG Hao, LI Jun, WANG Zhi-quan(Department of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.);Chaotic optimization algorithm based on Tent map[J];Control and Decision;2005-02
6 WANG Yong1+, CAI Zi-Xing1, ZHOU Yu-Ren2, XIAO Chi-Xin1,31(School of Information Science and Engineering, Central South University, Changsha 410083, China) 2(School of Computer Science and Engineering, South China University of Technology, Guangzhou 516040, China) 3(School of Information Engineering, Xiangtan University, Xiangtan 411105, China);Constrained Optimization Evolutionary Algorithms[J];Journal of Software;2009-01
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