Genetic algorithm solution to unit commitment problem

By Hatim S. Madraswala, A. Deshpande. IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, 2016

298 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/e2855e2d7c6aaa62dfcc36246d2c9907066aa8a3

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. Hossein Lotfi
2. S. Bahramirad
3. Amin Khodaei
4. Sina Parhizi
5. Ming Jin
6. Costas J. Spanos
7. W. Feng
8. Chris Marnay

In Safety, Risk, Reliability and Quality

1. Amin Khodaei

Citations in the corpus

• State of the Art in Research on Microgrids: A Review (2015, background): “Using the varying quality function technique and adding problem-specific operators can result in satisfactory solutions [160].”
• MOD-DR: Microgrid optimal dispatch with demand response (2017, background): “Diverse approaches have been pursued based on linear programming (LP) [21], mixed integer linear programming (MILP) [22,10,23], dynamic programming [24,12,13], simulated annealing [3], artificial neural networks [25], particle swarm optimization [18], hybrid methods [26] and evolutionary algorithms ”