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2015 | 10 | 93-104

Article title

Fuzzy Pareto Dominance in Multiple Criteria Project Scheduling Problem

Content

Title variants

Languages of publication

EN

Abstracts

EN
Planning is one of the most important aspects of project management. A project plan defines objectives, activities and timeframe for project realization. To be able to define the required timeframe for project realization it is important to prepare its schedule. The purpose of this paper is to present the project scheduling problem as a multiple criteria decision making problem and to solve it using two evolutionary algorithms: SPEA2 and an evolutionary algorithm driven by the fuzzification of Pareto dominance. A comparison of these two approaches is conducted to investigate if it is reasonable to use the fuzzification of the Pareto dominance relation in evolutionary algorithms for the multiple criteria project scheduling problem

Year

Volume

10

Pages

93-104

Physical description

Contributors

References

  • Brilman J. (2002), Modern Management Methods (Nowoczesne koncepcje i metody zarzadzania), Polish Economic Publishing, Warsaw.
  • Hapke M., Jaszkiewiecz A., Słowiński R. (1988), Interactive Analysis of Multiple-criteria Project Scheduling Problems, European Journal of Operational Research, 107, s. 315-324.
  • Köppen M., Franke K., Nickolay B. (2005), Fuzzy-Pareto-Dominance Driven Multiobjective Genetic Algorithm [in:] Evolutionary Multi-Criterion Optimization, Vol. 3410, Springer.
  • Krzeszowska B. (2013), Three Step Procedure for a Multiple Criteria Problem of Project Portfolio Scheduling, Operations Research and Decisions, No 4. 55-74.
  • Leu S.S., Yang C.H. (1999), Ga-based Multicriteria Optimal Model for Construction Scheduling, Journal of Construction Engineering and Management, 125(6), 420-427.
  • Viana. A., de Sousa J.P. (2000), Using Metaheuristic in Multiobjective Resource Constrained Project Scheduling, European Journal of Operational Research, 120, 359-374.
  • Zitzler E. (1999), Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications, PhD Thesis, Swiss Federal Institute of Technology, Zurich.
  • Zitzler E., Laumanns M., Thiele L. (2001), SPEA2 Improving the Strength Pareto Evolutionary Approach, Technical Report 103, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich

Document Type

Publication order reference

Identifiers

ISSN
2084-1531

YADDA identifier

bwmeta1.element.cejsh-6fb0bc56-7032-428a-a3b3-870acadeb7cc
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