Optimal Power Flow Using Particle Swarm Optimization

By T. Saravanan, G. Saritha, V. Srinivasan. 2014

431 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4b53d36e22b4ea7d5940b31bc7da520c630c6bd3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Serhat Duman
2. Ugur Güvenc
3. Yusuf Sönmez
4. N. Yorukeren

Citations in the corpus

• Optimal power flow using gravitational search algorithm (2012, methodology): “Some of the population-based methods have been proposed for solving the OPF problem successfully, such that genetic algorithm [13], improved genetic algorithm [14], tabu search [4], particle swarm [15], differential evolution algorithm [16], simulated annealing [17], evolutionary programming [18].”