Particle Swarm Optimization for Solving Sine-Gordan Equation
作者机构：Lovely Professional UniversityPunjab144118India Jaypee Institute of Information TechnologyNoida201304India Department of MathematicsUniversity of Management and TechnologyLahore54770Pakistan Department of MathematicsHamedan BranchIslamic Azad UniversityHamedanIran Department of MathematicsCankaya UniversityEtimesgutAnkara06790Turkey Department of MathematicsKing Abdulaziz UniversitySaudi Arabia Department of Medical ResearchChina Medical University HospitalChina Medical UniversityTaichungTaiwan
出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)
年 卷 期：2023年第45卷第6期
页 面：2647-2658页
核心收录：
学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 07[理学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学]
主 题：Differential quadrature method B-spline particle swarm optimization Sine-Gordan equation
摘 要：The term‘optimization’refers to the process of maximizing the beneficial attributes of a mathematical function or system while minimizing the unfavorable *** majority of real-world situations can be modelled as an optimization *** complex nature of models restricts traditional optimization techniques to obtain a global optimal solution and paves the path for global optimization *** Swarm Optimization is a potential global optimization technique that has been widely used to address problems in a variety of *** idea of this research is to use exponential basis functions and the particle swarm optimization technique to find a numerical solution for the Sine-Gordan equation,whose numerical solutions show the soliton form and has diverse *** implemented optimization technique is employed to determine the involved parameter in the basis functions,which was previously approximated as a random number in the work reported till now in the *** obtained results are comparable with the results obtained in the *** work is presented in the form of figures and tables and is found encouraging.
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