Optimization of energy consumption and environmental impacts of chickpea production using data envelopment analysis (DEA) and multi objective genetic algorithm (MOGA) approaches
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Abbreviations
GHG
green house gas
LCA
life cycle assessment
DEA
data envelopment analysis
TE
technical efficiency
PTE
pure technical efficiency
SEF
scale efficiency
DMU
decision making unit
CRS
constant returns to scale
VRS
variable returns to scale
GA
genetic algorithm
EA
evolutionary algorithm
MOGA
multi objective genetic algorithm
VIF
variance inflation factor
FYM
farmyard manure
ME
machine energy
IE
irrigation energy
ER
energy ratio
EP
energy productivity
SE
specific energy
NEG
net energy gain
DE
direct energy
IDE
indirect energy
RE
renewable energy
RI
respiratory inorganics
NRE
non renewable energy
FU
functional unit
LCI
life cycle inventory
LCIA
life cycle impact assessment
ACP
acidification potential
EUP
eutrophication potential
GWP
global warming potential
HTP
human toxicity potential
TEP
terrestrial ecotoxicity potential
Keywords
Data envelopment analysis
Energy
Life cycle assessment
Multi objective genetic algorithm
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© 2016 China Agricultural University. Publishing services by Elsevier B.V.