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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kiriklidis, C. Kirytopoulos, K. Rokou, E. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Mechanical Engineering, National Technical University of Athens, Greece (Kirytopoulos, K.; Rokou, E.) || Department of Financial Engineering, University of Aegean, Chios, Greece (Kiriklidis, C.) |
| Abstract | This paper presents a new approach for the Time Constraint Project Scheduling Problem (TCPSP). A two stage heuristic algorithm was developed for this problem. During the first stage a genetic algorithm using as fitness function, a function composition of max resource usage and the differences between actual and desirable resource usage, is executed to get a set of solutions. The second stage consists of choosing the best chromosomes and moving the solution's set start times ±1 to randomly generate another set of solutions. Experimental results of the two stage approach are presented and compared to the single genetic algorithm results. |
| Starting Page | 844 |
| Ending Page | 847 |
| File Size | 592200 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457707407 |
| ISSN | 2157362X |
| e-ISBN | 9781457707391 |
| e-ISBN | 9781457707384 |
| DOI | 10.1109/IEEM.2011.6118035 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-06 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers genetic algorithm Job shop scheduling project management Heuristic algorithms Time constraint project scheduling resource leveling Project management Time factors Biological cells Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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