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- W2747232873 abstract "Gravitational search algorithm (GSA) is a metaheuristic population-based optimization algorithm inspired by the Newtonian law of gravity and law of motion. However, GSA has a fundamental problem. It has been reported that the force calculation in GSA is not genuinely based on the Newtonian law of gravity. Based on the Newtonian law of gravity, force between two masses in the universe is inversely proportional to the square of the distance between them. However, in the original GSA, R has been used. In this paper, a modification is done to GSA by considering the square of the distance between masses, which is R 2. The CEC2014 benchmark functions for real-parameter single objective optimization problems are employed in the evaluation. An important finding is that by considering the square of the distance between masses, significant improvement over the original GSA is observed provided a large gravitational constant should be used at the beginning of the optimization process." @default.
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- W2747232873 date "2017-01-01" @default.
- W2747232873 modified "2023-09-26" @default.
- W2747232873 title "Gravitational Search Algorithm with a More Accurate Newton’s Gravitational Principle" @default.
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- W2747232873 doi "https://doi.org/10.1007/978-981-10-6463-0_52" @default.
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