Particle Swarm Optimization for Solving Sine-Gordan Equation

The term ‘optimization’ refers to the process of maximizing beneficial attributes a mathematical function or system while minimizing unfavorable ones. majority real-world situations can be modelled as an optimization problem. complex nature models restricts traditional techniques obtain global optimal solution and paves path for methods. Particle Swarm Optimization is potential technique that has been widely used address problems in variety fields. idea this research use exponential basis functions particle swarm find numerical Sine-Gordan equation, whose solutions show soliton form diverse applications. implemented employed determine involved parameter functions, which was previously approximated random number work reported till now literature. obtained results are comparable with presented figures tables found encouraging.