Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch

By Ke Meng, Zhao Yang Dong, Kit Po Wong. IEEE Transactions on Power Systems, 2010

323 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/67cb476d3f04a886459a13dfd7db94663b8844ac

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

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

• Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems (2012, methodology): “The obtained results are compared with the results of hybrid DE with biogeography-based optimization (DE/BBO) algorithm [43], variable DE with the fuzzy adaptive PSO (FAPSO-VDE) [13], quantum-inspired PSO (QPSO) [25], multi-agent based hybrid PSO technique (HMAPSO) [14], biogeography-based optimizat”
• 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”