1. Home
  2. Issues
  3. Volume 21, Issue 2 (2010)
  4. An Improved Differential Evolution Schem ...

Informatica


Cited by 14
An Improved Differential Evolution Scheme for the Solution of Large-Scale Unit Commitment Problems

A Binary-Real-Coded Differential Evolution for Unit Commitment Problem: A Preliminary Study
Saptarshi Dutta, Dilip Datta
https://doi.org/10.1007/978-3-642-25725-4_36
Book  Lecture Notes in Computer Science (Multi-disciplinary Trends in Artificial Intelligence) Volume 7080 (2011), p. 406
A Comprehensive Review on Evolutionary Optimization Techniques Applied for Unit Commitment Problem
Narayanasamy Muralikrishnan, Luke Jebaraj, Charles Christober Asir Rajan
https://doi.org/10.1109/ACCESS.2020.3010275
Journal  IEEE Access Volume 8 (2020), p. 132980
A Modified Differential Evolution Algorithm for the Solution of a Large-Scale Unit Commitment Problem
Nisma Saleem, Aftab Ahmad, Salman Zafar
https://doi.org/10.1007/s13369-014-1389-8
Journal  Arabian Journal for Science and Engineering Volume 39, Issue 12 (2014), p. 8889
A binary-real-coded differential evolution for unit commitment problem
Dilip Datta, Saptarshi Dutta
https://doi.org/10.1016/j.ijepes.2012.04.048
Journal  International Journal of Electrical Power & Energy Systems Volume 42, Issue 1 (2012), p. 517
A real–integer–discrete-coded differential evolution
Dilip Datta, José Rui Figueira
https://doi.org/10.1016/j.asoc.2013.05.001
Journal  Applied Soft Computing Volume 13, Issue 9 (2013), p. 3884
A synergy of binary differential evolution and binary local search optimizer to solve multi-objective profit based unit commitment problem
Jatinder Singh Dhaliwal, J.S. Dhillon
https://doi.org/10.1016/j.asoc.2021.107387
Journal  Applied Soft Computing Volume 107 (2021), p. 107387
Adaptive bacterial foraging and genetic algorithm for unit commitment problem with ramp rate constraint
Ehab E. Elattar
https://doi.org/10.1002/etep.2164
Journal  International Transactions on Electrical Energy Systems Volume 26, Issue 7 (2016), p. 1555
Applications of Differential Evolution in Electric Power Systems
Luke Jebaraj
https://doi.org/10.1007/978-981-16-8082-3_10
Book  Studies in Computational Intelligence (Differential Evolution: From Theory to Practice) Volume 1009 (2022), p. 265
Fuel constrained commitment scheduling for combined heat and power dispatch incorporating electric vehicle parking lot
Mousumi Basu
https://doi.org/10.1016/j.energy.2023.127293
Journal  Energy Volume 276 (2023), p. 127293
Hybridizing genetic algorithm with grey prediction evolution algorithm for solving unit commitment problem
Wangyu Tong, Di Liu, Zhongbo Hu, Qinghua Su
https://doi.org/10.1007/s10489-023-04527-2
Journal  Applied Intelligence Volume 53, Issue 17 (2023), p. 19922
Modified Binary Differential Evolution Algorithm to Solve Unit Commitment Problem
Jatinder Singh Dhaliwal, Jaspreet Singh Dhillon
https://doi.org/10.1080/15325008.2018.1510445
Journal  Electric Power Components and Systems Volume 46, Issue 8 (2018), p. 900
Optimization of unit commitment problem with ramp-rate constraint and wrap-around scheduling
Dimbalita Deka, Dilip Datta
https://doi.org/10.1016/j.epsr.2019.105948
Journal  Electric Power Systems Research Volume 177 (2019), p. 105948
Profit based unit commitment using memetic binary differential evolution algorithm
Jatinder Singh Dhaliwal, J.S. Dhillon
https://doi.org/10.1016/j.asoc.2019.105502
Journal  Applied Soft Computing Volume 81 (2019), p. 105502
Unit commitment problem with ramp rate constraint using a binary-real-coded genetic algorithm
Dilip Datta
https://doi.org/10.1016/j.asoc.2013.05.002
Journal  Applied Soft Computing Volume 13, Issue 9 (2013), p. 3873


Share


RSS