A simulated annealing technique for multi-objective simulation optimization
MetadataShow full item record
In this paper, we present a simulated annealing algorithm for solving multi-objective simulation optimization problems. The algorithm is based on the idea of simulated annealing with constant temperature, and uses a rule for accepting a candidate solution that depends on the individual estimated objective function values. The algorithm is shown to converge almost surely to an optimal solution. It is applied to a multi-objective inventory problem; the numerical results show that the algorithm converges rapidly.
- Mathematics, Statistics & Physics [109 items test 5 ]
Showing items related by title, author, creator and subject.
|Design of a Simulator for Neonatal Multichannel EEG: Application to Time-Frequency Approaches for Automatic Artifact Removal and Seizure Detection ||Al-Sa'd, Mohamed Fathi||2016||Master Thesis|
|Enhanced simulated-annealing-based algorithms and their applications to process planning in reconfigurable manufacturing systems ||Musharavati, F.; Hamouda, A.M.S.||2012||Elsevier, Ltd||Article|
|Developing a framework for pre-design process simulation for green buildings ||Nookala, Srinivasa; Said, Hisham; Kandil, Amr; Cai, Hubo; Al-Derham, Hassan; Senouci, Ahmed; El-Gafy, Mohammed||2012||American Society of Civil Engineers (ASCE)||Conference Paper|