EPSO-evolutionary particle swarm optimization, a new algorithm with applications in power systems

By Vladimiro Miranda, N. Fonseca. IEEE PES Transmission and Distribution Conference and Exhibition, 2002

310 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Energy Engineering and Power Technology

View Paper: https://www.semanticscholar.org/paper/643b12e01485c30a0e960e1bf477866674496fd0

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Ganesh Kumar Venayagamoorthy
2. Ajith Abraham
3. J. Hernandez
4. Amit Konar
5. Swagatam Das
6. Salman Mohagheghi
7. Yamille del Valle
8. Ronald G. Harley

In Energy Engineering and Power Technology

1. Ajith Abraham
2. J. Hernandez
3. Amit Konar
4. Ganesh Kumar Venayagamoorthy
5. Swagatam Das
6. Salman Mohagheghi
7. Yamille del Valle
8. Ronald G. Harley

Citations in the corpus

• Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems (2008, methodology): “The general EPSO scheme can be summarized as follows [106], [111], [112].”
• Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives (2008, methodology): “By applying crossover operation, information can be swapped between two individuals to have the ability to “fly” to the new search area as that in evolutionary programming and GAs [23].”