Scheduling of dynamic workforces
industrial collaborators: @Road
academic collaborators: University of Bradford
initiated : 2004/06/28
last updated: 2009/08/25


selected page:

Improving Metaheuristic Performance by Evolving Variable Fitness Functions
Dahal, K. , Remde, S., Cowling, P., and Colledge, N.: Improving Metaheuristic Performance by Evolving Variable Fitness Functions. In Proc. Evolutionary Computation in Combinatorial Optimization (EvoCOP 2008), Springer LNCS 4972 pp 70-181

 

   

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related resources:
  Scheduling of dynamic workforces
  Further reading
- The Trade Off between Diversity and Quality for Multi-objective Workforce Scheduling
- Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling
- Evolution of Fitness Functions to Improve Heuristic Performance
» Improving Metaheuristic Performance by Evolving Variable Fitness Functions
- Evolution of Fitness Functions to Enhance Heuristics
 
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