UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Constraint Handling in Genotype to Phenotype Mapping and Genetic Operators for Project Staffing

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). Green open access

[img]
Preview
Text
Bentley_GECCO20_Constraint_handling_for_project_staffing.pdf - Accepted version

Download (156kB) | Preview

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
Downloads since deposit
30Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item