Solution to scalarized environmental economic power dispatch problem by using genetic algorithm
- 1 June 2012
- journal article
- Published by Elsevier BV in International Journal of Electrical Power & Energy Systems
- Vol. 38 (1), 54-62
- https://doi.org/10.1016/j.ijepes.2011.12.020
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systemsInternational Journal of Electrical Power & Energy Systems, 2012
- A multi-objective chaotic ant swarm optimization for environmental/economic dispatchInternational Journal of Electrical Power & Energy Systems, 2010
- Economic emission load dispatch through fuzzy based bacterial foraging algorithmInternational Journal of Electrical Power & Energy Systems, 2010
- A multi-objective chaotic particle swarm optimization for environmental/economic dispatchEnergy Conversion and Management, 2009
- A multi-objective programming approach to 1.5-dimensional assortment problemEuropean Journal of Operational Research, 2007
- Short‐term scheduling of thermal units: emission constraints and trade‐off curvesEuropean Transactions on Electrical Power, 2007
- The analytic hierarchy process and multiobjective 0–1 faculty course assignmentEuropean Journal of Operational Research, 2004
- Environmental/economic power dispatch using multiobjective evolutionary algorithmsIEEE Transactions on Power Systems, 2003
- Multiobjective optimization using evolutionary algorithms — A comparative case studyLecture Notes in Computer Science, 1998
- A summary of environmental/economic dispatch algorithmsIEEE Transactions on Power Systems, 1994