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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Combinatorial versus Priority Based Optimization in Resource Constrained Project Scheduling Problems by Nature Inspired Metaheuristics

BEJINARIU, S.-I. See more information about BEJINARIU, S.-I. on SCOPUS See more information about BEJINARIU, S.-I. on IEEExplore See more information about BEJINARIU, S.-I. on Web of Science, COSTIN, H. See more information about  COSTIN, H. on SCOPUS See more information about  COSTIN, H. on SCOPUS See more information about COSTIN, H. on Web of Science, COSTIN, D. See more information about COSTIN, D. on SCOPUS See more information about COSTIN, D. on SCOPUS See more information about COSTIN, D. on Web of Science
 
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Download PDF pdficon (1,467 KB) | Citation | Downloads: 333 | Views: 581

Author keywords
biological information theory, evolutionary computation, optimization, particle swarm optimization, scheduling algorithms

References keywords
optimization(18), algorithm(11), swarm(8), scheduling(7), flower(7), costin(7), yang(6), science(6), problem(6), pollination(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-02-28
Volume 19, Issue 1, Year 2019, On page(s): 17 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.01003
Web of Science Accession Number: 000459986900003
SCOPUS ID: 85064227660

Abstract
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This paper explores the behavior of the Flower Pollination Algorithm (FPA) and Particle Swarm Optimization (PSO) metaheuristic algorithm in resolving Resource Constrained Project Scheduling Problems (RCPSP) that can model certain practical issues in distributed applications. A RCPSP type problem has at the input a set of activities between which there are precedence relationships and for whose execution it is necessary to allocate resources that are limited. The solution determines the order of execution of the activities with respect to the precedence relations between them and the allocation of the available resources so that the total duration is minimal. The experimental results showed that a near optimal solution can be obtained faster than with other traditional algorithms, mainly for optimization problems in the continuous space. Two versions of FPA and PSO were used, namely combinatorial and priority based optimization. Because during evolution the individuals position changes do not guarantee the precedence order preservation, a new tasks reordering procedure is proposed in this paper.


References | Cited By  «-- Click to see who has cited this paper

[1] M. Cisse, S. Yalçindag, Y. Kergosien, E. Sahin, C. Lente, A. Matta, "OR problems related to home health care: a review of relevant routing and scheduling problems", Operations Research for Health Care, Vols. 13-14, pp. 1-22, 2017,
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[2] R. M. Chen, C. L. Wub, C. M. Wang, S. T. Lo, "Using novel particle swarm optimization scheme to solve resource-constrained scheduling problem in PSPLIB", Expert Systems with Applications, Vol. 37, pp. 1899-1910, 2010,
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[7] E. Emary, H. M. Zawbaa, A. E. Hassanien, B. Parv, "Multi-objective retinal vessel localization using flower pollination search algorithm with pattern search", Advances in Data Analysis and Classification, Vol. 11, No. 3, pp. 611-627, 2017,
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[8] R. Wang, Y. Zhou, C. Zhao, H. Wu, "A hybrid flower pollination algorithm based modified randomized location for multi-threshold medical image segmentation", Bio-Medical Materials and Engineering, Vol. 26, pp. 1345-1351, 2015,
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[9] S. M. Nigdeli, G. Bekdas, X.-S. Yang, "Application of the flower pollination algorithm in structural engineering", in X.-S. Yang et al. (Eds.), Metaheuristics and Optimization in Civil Engineering, Modeling and Optimization in Science and Technologies, Vol. 7, Springer, pp. 25-42, 2016,
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[10] A. Goli, A. Aazami, A. Jabbarzadeh, "Accelerated cuckoo optimization algorithm for capacitated vehicle routing problem in competitive conditions", International Journal of Artificial Intelligence, vol. 16, no. 1, pp. 88-112, Mar. 2018.

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[15] S.-I. Bejinariu, H. Costin, F. Rotaru, R. Luca, C. Nita, "Image processing by means of some bio-inspired optimization algorithms", Proc. of the IEEE 5th Int. Conference on E-Health and Bioengineering - EHB 2015, Iasi, România, 2015, pp. 1-4,
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[16] S.-I. Bejinariu, R. Luca, H. Costin, "Nature-inspired algorithms based multispectral image fusion", Proc. of the 2016 International Conference and Exposition on Electrical and Power Engineering, Iasi, România, pp. 1-5, 2016,
[CrossRef] [SCOPUS Times Cited 8]


[17] S.-I. Bejinariu, H. Costin, F. Rotaru, R. Luca, C. Nita, "Performance analysis of artificial bee colony optimization algorithm", in Proc. of the 13-th Int. Symposium on Signals, Circuits and Systems, ISSCS 2017, Iasi, România, pp. 1-4, 2017,
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[20] T. Hendtlass, "WoSP: a multi-optima particle swarm algorithm", Proc. of the IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK, pp. 727-734, 2005,
[CrossRef]


[21] X.-S. Yang, M. Karamanoglu, X.S. He, "Flower pollination algorithm: a novel approach for multiobjective optimization", Engineering Optimization, Vol. 46, No. 9, pp. 1222-1237, 2014,
[CrossRef] [Web of Science Times Cited 208] [SCOPUS Times Cited 257]


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[CrossRef] [Web of Science Times Cited 144] [SCOPUS Times Cited 211]


[23] B. Jarboui, M. Cheikh, P. Siarry, A. Rebai, "Combinatorial particle swarm optimization (CPSO) for partitional clustering problem", Applied Mathematics and Computation, Vol. 192, pp. 337-345, 2007,
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[CrossRef] [SCOPUS Times Cited 2257]




References Weight

Web of Science® Citations for all references: 26,308 TCR
SCOPUS® Citations for all references: 4,238 TCR

Web of Science® Average Citations per reference: 974 ACR
SCOPUS® Average Citations per reference: 157 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2020-05-25 17:37 in 135 seconds.




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