Gravitation swarm — Particle Swarm Optimizer Hybrid Swarm Search Optimizers

Posted byNidhikaPosted inartificial intelligence, computer scienceTags:, , ,

Summary — To understand how PSO-based algorithm can work with Gravitational algorithm to provide better results.

In the gravitational search algorithm, there is law of gravity and law of motion, where in the forces are proportional to masses in the objects and inversely proportional to the distance between the particles. The force of attraction of the i-th particle to the j-th particle [1],

As per [1],

As per [1],

Velocity and positions are required to run the PSO algorithm into next layer of iterations to improve the search.

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References

[1] Yadav, A., Deep, K., Kim, J. H., & Nagar, A. K. (2016). Gravitational swarm optimizer for global optimization. Swarm and Evolutionary Computation, 31, 64–89.

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Published by Nidhika

In the Futuristic with AI and Tech blog, Nidhika Yadav covers topics of and related to Future of World with Artificial Intelligence. She primarily talks about AI applications for good. She also talks about how AI can become harmful. She manages two independent blogs here, and one is hobby blog you can subscribe one or all of them. 1. Blog on Artificial Intelligence and future. https://nidhikayadav.org 2. In Blog on Global Issues and future, she covers important international issues and their future implications. https://nidhikayadav.com/ 3. Blog on cooking. This is a hobby blog. Here she describes some delicious innovations and nutritious food. https://nidhikasrecipes.com/ Do subscribe to one or all of them.

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