Paper Info
Title
A niched genetic algorithm to solve a pollutant emission reduction problem in the manufacturing industry: A case study
Abstract
A multiobjective optimization approach to deal with a pollutant emission reduction problem in the manufacturing industry, through implementation of the best available technical options, is presented in this paper. More specifically, attention is focused on the industrial painting of wood and the problem under investigation is formulated as a bicriteria combinatorial optimization problem. A niched Pareto genetic algorithm based approach is used to determine sets of methods, tools and technologies, applicable both in the design and in the production phase, allowing to simultaneously minimize the total cost and maximize the total pollutant emission reduction.
Year
DOI
Venue
2007
10.1016/j.cor.2005.08.005
Computers & Operations Research
Keywords
DocType
Volume
Genetic algorithms,Fitness sharing,Best available options,Multiple criteria analysis
Journal
34
Issue
ISSN
Citations 
7
0305-0548
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
L. Grandinetti1374.28
F. Guerriero2666.66
G. Lepera300.34
M. Mancini400.34