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Projects / Programmes source: ARIS

Hybrid selection algorithms for scheduling with evolutionary computation

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Research activity

Code Science Field Subfield
5.04.00  Social sciences  Administrative and organisational sciences   

Code Science Field
S000  Social sciences   
S189  Social sciences  Organizational science 
S190  Social sciences  Management of enterprises 
Keywords
multi-criteria scheduling, evolutionary computation, selection, decision support system, optimization
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (3)
no. Code Name and surname Research area Role Period No. of publications
1.  16312  PhD Igor Bernik  Administrative and organisational sciences  Researcher  2003 - 2004  0 
2.  01851  PhD Miroljub Kljajić  Systems and cybernetics  Head  2003 - 2004  0 
3.  07112  PhD Robert Leskovar  Computer science and informatics  Researcher  2003 - 2004  0 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0586  University of Maribor, Faculty of Organizational Sciences  Kranj  5089638018  0 
Abstract
The proposed research project addresses the use of hybrid selection in evolutionary computation for multi-criteria scheduling in the schedule optimization. We intend to carry out several quality assessments of multi-criteria scheduling with various evolution operators in the selection process including hybrid approaches. The methodology is based on system approach, on the scheduling paradigm in decision-making process and evolutionary computation. These hypotheses will be tested: a) influence of selection type on speed and quality of convergence, b) influence of the type of hybrid selection, c) influence of problem complexity on time response of the scheduling system, depending on its size and d) influence of the fitness function formulation in multi-criteria scheduling. To support the research we intend to develop the methodology and software to enable interactive monitoring of multi-criteria scheduling in near-realtime. This software will enable us to perform: a) interactive experimental control and b) transfer of scheduling results to the decision-making process. Experiments' results will allow us to generalization the results of previous research projects and the formulation of the influence of hybrid selection on multi-criteria scheduling, regarding the convergence towards an optimal solution, used in the decision-making process.
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