Recent developments in evolutionary computation for
manufacturing optimisation: problems, solutions and
comparisons
C. Dimopoulos, and A. Zalzala. IEEE Transactions on Evolutionary Computation, 4 (2):
93--113(2000)
Abstract
The use of intelligent techniques in the manufacturing
field has been growing the last decades due to the fact
that most of manufacturing optimisation problems are
combinatorial and NP hard. This report examines recent
developments in the field of evolutionary computation
for manufacturing optimisation. Significant papers in
various areas are highlighted and comparisons of
results are given wherever data is available. A wide
range of problems is covered, from job shop and flow
shop scheduling, to process planning and assembly line
balancing
%0 Journal Article
%1 chrams00
%A Dimopoulos, Christos
%A Zalzala, A M S
%D 2000
%J IEEE Transactions on Evolutionary Computation
%K algorithms, computation, evolutionary genetic manufacturing optimization programming,
%N 2
%P 93--113
%T Recent developments in evolutionary computation for
manufacturing optimisation: problems, solutions and
comparisons
%V 4
%X The use of intelligent techniques in the manufacturing
field has been growing the last decades due to the fact
that most of manufacturing optimisation problems are
combinatorial and NP hard. This report examines recent
developments in the field of evolutionary computation
for manufacturing optimisation. Significant papers in
various areas are highlighted and comparisons of
results are given wherever data is available. A wide
range of problems is covered, from job shop and flow
shop scheduling, to process planning and assembly line
balancing
@article{chrams00,
abstract = {The use of intelligent techniques in the manufacturing
field has been growing the last decades due to the fact
that most of manufacturing optimisation problems are
combinatorial and NP hard. This report examines recent
developments in the field of evolutionary computation
for manufacturing optimisation. Significant papers in
various areas are highlighted and comparisons of
results are given wherever data is available. A wide
range of problems is covered, from job shop and flow
shop scheduling, to process planning and assembly line
balancing},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Dimopoulos, Christos and Zalzala, A M S},
biburl = {https://www.bibsonomy.org/bibtex/243d74ea19bf97b717702b7e52cc75129/brazovayeye},
email = {chris_dimop@hotmail.com},
interhash = {10045b950d7f56cae52dbd8edf8a7944},
intrahash = {43d74ea19bf97b717702b7e52cc75129},
journal = {IEEE Transactions on Evolutionary Computation},
keywords = {algorithms, computation, evolutionary genetic manufacturing optimization programming,},
number = 2,
pages = {93--113},
timestamp = {2008-06-19T17:38:43.000+0200},
title = {Recent developments in evolutionary computation for
manufacturing optimisation: problems, solutions and
comparisons},
volume = 4,
year = 2000
}