Friday 17th of November 2017
 

Neighborhood Crossover Operator - A new operator in Gravitational Search Algorithm


Zhongping Shang

In order to improve exploration and exploitation of the Gravitational Search Algorithm (GSA) for solving more complicated problems, Neighborhood Crossover Operator (NCO) is applied to GSA. In GSA, the gravitational force guides the masses. As the force absorbs the masses into each other, if premature convergence happens, there will not be any recovery for the algorithm, the NCO help the GSA recover from premature convergence and improve the local search ability. The improve GSA has been evaluate on 23 functions, compared with the GSA, the obtained results confirm the high performance of the proposed method in solving various nonlinear functions.

Keywords: Optimization; Gravitational search algorithm; Neighborhood crossover operator; Heuristic search algorithm; nonlinear functions

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ABOUT THE AUTHOR

Zhongping Shang



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