Economic load dispatch using krill herd algorithm

By B. Mandal, Provas Kumar Roy, S. Mandal. 2014

205 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/90ba31118cd653bddfe62c95c6ffb6a2632e538d

How researchers see this paper

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

In Control and Systems Engineering

1. Essam Said Hanandeh
2. Laith Mohammad Abualigah
3. Ahamad Tajudin Abdul Khader
4. Tandra DebRoy Pal
5. Moumita Pradhan
6. Provas Kumar Roy

In Electrical and Electronic Engineering

1. Tandra DebRoy Pal
2. Moumita Pradhan
3. Provas Kumar Roy
4. Laith Mohammad Abualigah

Citations in the corpus

• Hybrid clustering analysis using improved krill herd algorithm (2018, background): “The foraging motion of krill individuals is estimated by two effects: current food and old food locations [69].”
• Grey wolf optimization applied to economic load dispatch problems (2016, methodology): “To verify the robustness of the proposed GWO method, the statistical results of the best, mean and worst cost obtained by GWO over the 50 trial runs are compared with the results of PSO [54], GA [54], TSA [54], PSO-LRS [17], IGA-MU [17], NPSO-LRS [17], NPSO [17], ARCGA [17], FAPSO [55], NAPSO [55] a”