Quantum genetic algorithm for dynamic economic dispatch with valve-point effects and including wind power system

By Jia-Chu Lee, Whei-Min Lin, Gwo-Ching Liao, Ta-Peng Tsao. 2011

199 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/33162946bfd7d27a20a238a7d5e0d7b569e49a52

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. Behnam Mohammadi-Ivatloo
2. Abbas Rabiee
3. Alireza Soroudi
4. Mehdi Ehsan
5. Gwo-Ching Liao
6. Oliver Sawodny
7. Julia Sachs
8. Nima Nikmehr

Citations in the corpus

• Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch (2012, methodology): “These include GA [1], quantum GA (QGA) [18], artificial immune system method [19], artificial bee colony algorithm (ABC) [20], PSO [15,16,21,22], multiple TS (MTS) algorithm [23], enhanced cross-entropy method [24], and SA algorithm [25].”
• Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm (2012, background): “There are also some scholars who applied random optimization methods on the economic dispatch problem, such as Simulated Annealing (SA) [8–10], Genetic Algorithm (GA) [11–17], Evolutionary Programming (EP) [18,19], Evolutionary Strategy (ES) [20], Particle Swarm Optimization (PSO) [21–27], Ant Colon”