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Now showing items 1-10 of 14

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A differential evolution algorithm for the no-idle flowshop scheduling problem with total tardiness criterion 

Tasgetiren, M.F.; Pan, Q.K.; Suganthan, P.N.; Jin Chua, T. (International Journal of Production Research, 2011)
In this paper, we investigate the use of a continuous algorithm for the no-idle permutation flowshop scheduling (NIPFS) problem with tardiness criterion. For this purpose, a differential evolution algorithm with variable ...
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A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem 

Pan, Q.K.; Tasgetiren, M.F.; Suganthan, P.N.; Chua, T.J. (Information Sciences, 2011)
In this paper, a discrete artificial bee colony (DABC) algorithm is proposed to solve the lot-streaming flow shop scheduling problem with the criterion of total weighted earliness and tardiness penalties under both the ...
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A differential evolution algorithm for the median cycle problem 

Tasgetiren, M.F.; Pan, Q.K.; Bulut, C.; Suganthan, P.N. (IEEE SSCI 2011 - Symposium Series on Computational Intelligence - SDE 2011: 2011 IEEE Symposium on Differential Evolution, 2011)
This paper extends the applications of differential evolution algorithms to the Median Cycle Problem. The median cycle problem is concerned with constructing a simple cycle composed of a subset of vertices of a mixed graph. ...
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A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem 

Pan, Q.K.; Suganthan, P.N.; Liang, J.J.; Tasgetiren, M.F. (Expert Systems with Applications, 2011)
In this paper, a local-best harmony search (HS) algorithm with dynamic sub-harmony memories (HM), namely DLHS algorithm, is proposed to minimize the total weighted earliness and tardiness penalties for a lot-streaming flow ...
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Differential evolution algorithm with ensemble of parameters and mutation strategies 

Mallipeddi, R.; Suganthan, P.N.; Pan, Q.K.; Tasgetiren, M.F. (Applied Soft Computing Journal, 2011)
Differential evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive to the choice of the mutation strategy and ...
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Dynamic multi-swarm particle swarm optimizer with harmony search 

Zhao, S.Z.; Suganthan, P.N.; Pan, Q.K.; Tasgetiren, M.F. (Expert Systems with Applications, 2011)
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS. We present a novel ...
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A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem 

Pan, Q.K.; Tasgetiren, M.F.; Suganthan, P.N.; Chua, T.J. (ELSEVIER SCIENCE INC, 2011)
In this paper, a discrete artificial bee colony (DABC) algorithm is proposed to solve the lot-streaming flow shop scheduling problem with the criterion of total weighted earliness and tardiness penalties under both the ...
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A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops 

Tasgetiren, M.F.; Pan, Q.K.; Suganthan, P.N.; Chen, A.H.L. (ELSEVIER SCIENCE INC, 2011)
Obtaining an optimal solution for a permutation flowshop scheduling problem with the total flowtime criterion in a reasonable computational timeframe using traditional approaches and optimization tools has been a challenge. ...
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A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem 

Pan, Q.K.; Suganthan, P.N.; Liang, J.J.; Tasgetiren, M.F. (PERGAMON-ELSEVIER SCIENCE LTD, 2011)
In this paper, a local-best harmony search (HS) algorithm with dynamic sub-harmony memories (HM), namely DLHS algorithm, is proposed to minimize the total weighted earliness and tardiness penalties for a lot-streaming flow ...
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Dynamic multi-swarm particle swarm optimizer with harmony search 

Zhao, S.Z.; Suganthan, P.N.; Pan, Q.K.; Tasgetiren, M.F. (PERGAMON-ELSEVIER SCIENCE LTD, 2011)
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS. We present a novel ...
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AuthorPan, Q.K. (14)
Suganthan, P.N. (14)
Tasgetiren, M.F. (14)Chua, T.J. (3)Chen, A.H.L. (2)Liang, J.J. (2)Mallipeddi, R. (2)Zhao, S.Z. (2)Bulut, C. (1)Bulut, O. (1)... View MoreDate Issued
2011 (14)
Has File(s)No (14)

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