International Journal of Swarm Intelligence and Evolutionary Computation

Omkar Kulkarni

Publications

• Research Article
  Application of Grasshopper Optimization Algorithm for Constrained and Unconstrained Test Functions
  Author(s): Abhishek G NeveAbhishek G Neve
  
  Grasshopper Optimization algorithm is one of the recent algorithm for optimization. This algorithm is swarm based nature inspired algorithm which mimics and mathematically models the behaviour of grasshopper swarm in nature. The proposed algorithm can be used for solving the engineering optimization problems. The GOA is tested for different benchmark test functions to validate and verify the performance of the algorithm. Results obtained from GOA are compared with actual values (results) of the test functions. The results obtained from algorithm show that the algorithm is able to give the accurate results. The unconstrained and constrained test functions solved by using the Grasshopper optimization Algorithm (GOA) and the results can validate that the algorithm gives the trustable results. Constraints handling technique is used to convert the constrained optimization problem into unco.. View More»
  DOI: 10.4172/2090-4908.1000165

  Abstract PDF