Lim, S;
Kuo, Y;
Bentley, P;
(2020)
Constraint Handling in Genotype to Phenotype Mapping and
Genetic Operators for Project Staffing.
In:
Proceedings of ACM GECCO conference.
ACM
(In press).
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Abstract
Project staffing in many organisations involves the assignment of people to multiple projects while satisfying multiple constraints. The use of a genetic algorithm with constraint handling performed during a genotype to phenotype mapping process provides a new approach. Experiments show promise for this technique.
| Type: | Proceedings paper |
|---|---|
| Title: | Constraint Handling in Genotype to Phenotype Mapping and Genetic Operators for Project Staffing |
| Event: | The Genetic and Evolutionary Computation Conference (GECCO) |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3377929.3398165 |
| Publisher version: | https://dl.acm.org/proceedings |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Genetic algorithms, constraint handling, human resource allocation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10097390 |
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