Recent developments in evolutionary computation for manufacturing optimisation: problems, solutions and comparisons
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- @Article{chrams00,
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author = "Christos Dimopoulos and Ali M. S. Zalzala",
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title = "Recent developments in evolutionary computation for
manufacturing optimisation: problems, solutions and
comparisons",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2000",
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volume = "4",
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number = "2",
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pages = "93--113",
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month = jul,
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email = "chris_dimop@hotmail.com",
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keywords = "genetic algorithms, genetic programming, evolutionary
computation, manufacturing optimization, assembly line
balancing, combinatorial NP-hard problems, evolutionary
computation, flow shop scheduling, intelligent
techniques, job shop scheduling, manufacturing
optimisation, process planning, artificial
intelligence, computational complexity, evolutionary
computation, production control",
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ISSN = "1089-778X",
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DOI = "doi:10.1109/4235.850651",
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size = "21 pages",
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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",
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notes = "Also known as \cite{850651}",
- }
Genetic Programming entries for
Christos Dimopoulos
Ali M S Zalzala
Citations