ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM

Abdullah Konak

doi:10.5220/0003627302730277

ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM

Abdullah Konak

Division of Engineering, Business & Computing (Berks)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, an ant colony optimization (ACO) approach is proposed to solve the Facility Layout Problem (FLP) with unequal area departments. The flexible bay structure (FBS) is relaxed by allowing empty spaces in bays, which results in more flexibility while assigning departments in bays. The comparative results show that the ACO approach is very promising.

Original language	English (US)
Title of host publication	In Proceedings of the International Conference on Evolutionary Computation Theory and Applications, ECTA 2011
Editors	Agostinho Rosa
Publisher	Science and Technology Publications, Lda
Pages	273-277
Number of pages	5
ISBN (Print)	9789898425836
DOIs	https://doi.org/10.5220/0003627302730277
State	Published - 2011
Event	International Conference on Evolutionary Computation Theory and Applications, ECTA 2011 - Paris, France Duration: Oct 24 2011 → Oct 26 2011

Publication series

Name	International Joint Conference on Computational Intelligence
Volume	1
ISSN (Electronic)	2184-3236

Conference

Conference	International Conference on Evolutionary Computation Theory and Applications, ECTA 2011
Country/Territory	France
City	Paris
Period	10/24/11 → 10/26/11

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computational Theory and Mathematics

Access to Document

10.5220/0003627302730277

Cite this

Konak, A. (2011). ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM. In A. Rosa (Ed.), In Proceedings of the International Conference on Evolutionary Computation Theory and Applications, ECTA 2011 (pp. 273-277). (International Joint Conference on Computational Intelligence; Vol. 1). Science and Technology Publications, Lda. https://doi.org/10.5220/0003627302730277

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title = "ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM",

abstract = "In this paper, an ant colony optimization (ACO) approach is proposed to solve the Facility Layout Problem (FLP) with unequal area departments. The flexible bay structure (FBS) is relaxed by allowing empty spaces in bays, which results in more flexibility while assigning departments in bays. The comparative results show that the ACO approach is very promising.",

author = "Abdullah Konak",

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doi = "10.5220/0003627302730277",

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series = "International Joint Conference on Computational Intelligence",

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Konak, A 2011, ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM. in A Rosa (ed.), In Proceedings of the International Conference on Evolutionary Computation Theory and Applications, ECTA 2011. International Joint Conference on Computational Intelligence, vol. 1, Science and Technology Publications, Lda, pp. 273-277, International Conference on Evolutionary Computation Theory and Applications, ECTA 2011, Paris, France, 10/24/11. https://doi.org/10.5220/0003627302730277

ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM. / Konak, Abdullah.
In Proceedings of the International Conference on Evolutionary Computation Theory and Applications, ECTA 2011. ed. / Agostinho Rosa. Science and Technology Publications, Lda, 2011. p. 273-277 (International Joint Conference on Computational Intelligence; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - In this paper, an ant colony optimization (ACO) approach is proposed to solve the Facility Layout Problem (FLP) with unequal area departments. The flexible bay structure (FBS) is relaxed by allowing empty spaces in bays, which results in more flexibility while assigning departments in bays. The comparative results show that the ACO approach is very promising.

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Y2 - 24 October 2011 through 26 October 2011

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ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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