Developing effective meta-heuristics for a probabilistic location model via experimental design

DOI10.1016/j.ejor.2005.11.007zbMath1111.90067OpenAlexW1986635402MaRDI QIDQ856202

Cem Saydam, Jing Xiao, F. Elizabeth Vergara, Hari K. Rajagopalan

Publication date: 7 December 2006

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.11.007

zbMATH Keywords

meta-heuristicslocationexperimental design

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Discrete location and assignment (90B80)

Related Items (4)

Covering models and optimization techniques for emergency response facility location and planning: a review ⋮ A multiperiod set covering location model for dynamic redeployment of ambulances ⋮ A taxonomy for emergency service station location problem ⋮ Covering Problems

Uses Software

• CPLEX
• SPSS
• Genocop
• Tabu search

Cites Work

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• The Location of Emergency Service Facilities
• A dynamic model and parallel tabu search heuristic for real-time ambulance relocation
• Fast heuristics for large scale covering-location problems
• On the use of genetic algorithms to solve location problems

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