Mohadeseh Soleimanpour

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Gravitational search algorithm (GSA) is a swarm intelligence optimization algorithm that shares many similarities with evolutionary computation techniques. However, the GSA is driven by the simulation of a collection of masses which interact with each other based on the Newtonian gravity and laws of motion. Inspired by the classical GSA and quantum(More)
This paper presents a discrete quantum behaved gravitational search algorithm (DQGSA) which is used to provide a novel steganographic algorithm based on the spatial domain: Least Significant Bits (LSB). This approach improves the LSB matching method proposed by Mielikaien. Whereas Mielikaien’s method uses a binary function to reduce the number of changed(More)
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