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Project scheduling with limited resources using a genetic algorithm
| Content Provider | Semantic Scholar |
|---|---|
| Author | Montoya-Torres, Jairo R. Gutierrez-Franco, Edgar Pirachicán-Mayorga, Carolina |
| Copyright Year | 2010 |
| Abstract | This paper presents a genetic algorithm for the Resource-Constrained Project Scheduling Problem (RCPSP). In comparison with previous genetic algorithms proposed in literature for this problem, this paper proposes an alternative representation of the chromosomes using a multi-array object-oriented model in order to take advantage of programming features in most common languages for the design of decision support systems. The approach was tested on sets of standard problems taken from the literature and freely available on the Internet (PSPLIB). Computational results validate the effectiveness of the proposed algorithm and show that our procedure equals most of previous results with less computational time. 2009 Elsevier Ltd and IPMA. All rights reserved. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://vahabonline.com/wp-content/uploads/2016/03/Project-scheduling-with-limited-resources_s.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Computation Decision Support Systems, Clinical Decision support system Genetic algorithm Numerous Programming Languages Resource Allocation Schedule (project management) Scheduling (computing) Scheduling - HL7 Publishing Domain Time complexity |
| Content Type | Text |
| Resource Type | Article |
