A hybrid scatter search approach for resource-constrained project scheduling problem in PERT-type networks

被引:16
作者
Baradaran, Siamak [2 ]
Ghomi, S. M. T. Fatemi [1 ]
Mobini, Mahdi [3 ]
Hashemin, S. S. [4 ]
机构
[1] Amirkabir Univ Technol, Dept Ind Engn, Tehran, Iran
[2] Islamic Azad Univ, Damavand Branch, Dept Ind Engn, Damavand, Iran
[3] Univ British Columbia, Fac Forestry, Ind Engn Grp, Vancouver, BC V6T 1Z4, Canada
[4] Islamic Azad Univ, Ardabil Branch, Dept Ind Engn, Ardebil, Iran
关键词
PERT networks; Resource-constrained; Project scheduling; Renewable resources; Scatter search algorithm; Path relinking algorithm; STOCHASTIC NETWORK; AVAILABILITY COST; CLASSIFICATION; ASSUMPTIONS; HEURISTICS; ALGORITHM; SUBJECT; MODELS; TIME;
D O I
10.1016/j.advengsoft.2010.05.010
中图分类号
TP39 [计算机的应用];
学科分类号
080201 [机械制造及其自动化];
摘要
This paper presents a metaheuristic algorithm for resource-constrained project scheduling problem (RCPSP) in PERT networks. A PERT-type project, where activities require resources of various types with random duration, is considered. The problem is to minimize the regular criterion namely project's make-span. The resource project scheduling model is an NP-hard, therefore to obtain a precise solution, a metaheuristic algorithm is suggested namely hybrid scatter search (HSS). The path relinking algorithm and two operators like crossover and prominent permutation-based are applied to solve the problem. The problem has to be solved at each decision point, when at least more than one activity is ready to be operated but the available amount of resources is limited. The metaheuristic model is illustrated by a numerical example. In order to validate the performance of new hybrid metaheuristic algorithm, solutions are compared with "optimal solution" for small networks. Also the efficiency of the proposed algorithm, for real world problems, in terms of solution quality, is compared with well-reported benchmark test problems available on the PSPLIB. The computational results reveal that the proposed algorithm has appropriate results for small networks and real world problems. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:966 / 975
页数:10
相关论文
共 46 条
[1]
Efficient method for scheduling construction projects with resource constraints [J].
Abeyasinghe, M.Chelaka L. ;
Greenwood, David J. ;
Johansen, D.Eric .
2001, Elsevier Science Ltd, Exeter, United Kingdom (19)
[2]
[Anonymous], 2003, P 3 INT WORKSH COMP
[3]
[Anonymous], STATISTICANEERLANDIC
[4]
SCHEDULING SUBJECT TO RESOURCE CONSTRAINTS - CLASSIFICATION AND COMPLEXITY [J].
BLAZEWICZ, J ;
LENSTRA, JK ;
KAN, AHGR .
DISCRETE APPLIED MATHEMATICS, 1983, 5 (01) :11-24
[5]
Resource-constrained project scheduling: Notation, classification, models, and methods [J].
Brucker, P ;
Drexl, A ;
Mohring, R ;
Neumann, K ;
Pesch, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1999, 112 (01) :3-41
[6]
DETERMINISTIC EQUIVALENTS FOR OPTIMIZING AND SATISFICING UNDER CHANCE CONSTRAINTS [J].
CHARNES, A ;
COOPER, WW .
OPERATIONS RESEARCH, 1963, 11 (01) :18-39
[7]
CRITICAL PATH ANALYSES VIA CHANCE CONSTRAINED + STOCHASTIC-PROGRAMMING [J].
CHARNES, A ;
COOPER, WW ;
THOMPSON, GL .
OPERATIONS RESEARCH, 1964, 12 (03) :460-&
[8]
A hybrid scatter search/electromagnetism meta-heuristic for project scheduling [J].
Debels, D ;
De Reyck, B ;
Leus, R ;
Vanhoucke, M .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 169 (02) :638-653
[9]
Minimizing resource availability costs in time-limited project networks [J].
Demeulemeester, E .
MANAGEMENT SCIENCE, 1995, 41 (10) :1590-1598
[10]
Optimization guided lower and upper bounds for the resource investment problem [J].
Drexl, A ;
Kimms, A .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2001, 52 (03) :340-351