Application of multi-objective genetic algorithms for optimization of energy, economics and environmental life cycle assessment in oilseed production
- 1 January 2017
- journal article
- research article
- Published by Elsevier BV in Journal of Cleaner Production
- Vol. 140, 804-815
- https://doi.org/10.1016/j.jclepro.2016.03.075
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Improving energy use efficiency of canola production using data envelopment analysis (DEA) approachEnergy, 2011
- Process Analysis and Multi‐Objective Optimization of Ionic Liquid‐Containing Acetonitrile Process to Produce 1,3‐ButadieneChemical Engineering & Technology, 2011
- Further potentials in the joint implementation of life cycle assessment and data envelopment analysisScience of The Total Environment, 2010
- Modeling and sensitivity analysis of energy inputs for apple production in IranEnergy, 2010
- Sensitivity analysis of energy inputs for barley production in Hamedan Province of IranAgriculture, Ecosystems & Environment, 2010
- Energy balance in Iran's agronomy (1990–2006)Renewable and Sustainable Energy Reviews, 2010
- A review of life cycle assessment (LCA) on some food productsJournal of Food Engineering, 2009
- A limited LCA comparing large- and small-scale production of rape methyl ester (RME) under Swedish conditionsBiomass and Bioenergy, 2004
- Specifying functional units and reference flows for comparable alternativesThe International Journal of Life Cycle Assessment, 2003
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002