Experimental study of a new hybrid PSO with mutation for economic dispatch with non-smooth cost function

By Haiyan Helen Lu, P. Sriyanyong, Y. Song, Tharam Singh Dillon. 2010

186 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/487bf3e72e0db08217e08ab90f777707b9955102

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. Tandra DebRoy Pal
2. Moumita Pradhan
3. Shahryar Rahnamayan
4. Changhe Li
5. Provas Kumar Roy

Citations in the corpus

• Grey wolf optimization applied to economic load dispatch problems (2016, background): “hybrid GA (HGA)[18], particle swarm optimization (PSO) [19], anti predatory PSO (APSO) [20], civilized swarm optimization (CSO) [21], modified PSO (MPSO) [22], craziness based PSO (CRPSO) [23], hybrid PSO (HPSO) [24], ant colony optimization (ACO) [25,26], bacteria foraging optimization (BFO) [27], ”
• Diversity enhanced particle swarm optimization with neighborhood search (2013, methodology): “(cid:6) CBPSO (PSO with both constriction factor and inertia weight) with RVM (CBPSO-RVM) [36].”