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A new modified grasshopper optimization algorithm
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The grasshopper algorithm (GOA) is a recent algorithm. It is widely used in many applications and results in a good solution. The algorithm is simple and the accuracy in very high. The GOA has some limitations due to the use of linear comfort zone parameter that causes some difficulties in balancing between the exploration and exploitation which may lead to fall in a local optimum. In this paper a modification is made to improve the operation of GOA. A nonlinear function is developed to replace the linear comfort zone parameter. The benchmark of GOA authors is used for testing the performance improvement of the suggested modified GOA compared to the basic GOA. Results indicate that the MGOA outperforms original GOA, presenting a higher accuracy, faster convergence, and stronger stability. The proposed new modified GOA performs better than the original GOA.
Institute of Advanced Engineering and Science
Title: A new modified grasshopper optimization algorithm
Description:
The grasshopper algorithm (GOA) is a recent algorithm.
It is widely used in many applications and results in a good solution.
The algorithm is simple and the accuracy in very high.
The GOA has some limitations due to the use of linear comfort zone parameter that causes some difficulties in balancing between the exploration and exploitation which may lead to fall in a local optimum.
In this paper a modification is made to improve the operation of GOA.
A nonlinear function is developed to replace the linear comfort zone parameter.
The benchmark of GOA authors is used for testing the performance improvement of the suggested modified GOA compared to the basic GOA.
Results indicate that the MGOA outperforms original GOA, presenting a higher accuracy, faster convergence, and stronger stability.
The proposed new modified GOA performs better than the original GOA.
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