Post Optimality Analysis of Pareto Optimal Set Through Weights Robustness
2014 (English)In: IEEE International Conference on Industrial Engineering and Engineering Management, IEEE Computer Society , 2014, 34-38 p.Conference paper (Refereed)
Traditional multi-objective optimization attempts to find Pareto optimal solutions. Since a Pareto optimal set can be huge, the problem of selecting one or few solutions occurs. Post optimality analysis in multi-objective optimization requires incorporation of decision makers' preferences in the form of weights. In this paper the concept of robustness with regards to weights is introduced. The different types of weights robustness show how sensitive a solution is to variation in weights' coefficients. An approach for analysis of Pareto optimal sets through weights robustness is then devised. The suggested approach can be of special interest in the presence of conflicting preferences among decision makers or when preference information is unavailable. In conclusion, managerial usage it in the different strategies for negotiation provides possibility to thoroughly weigh all alternatives before settling on an agreement.
Place, publisher, year, edition, pages
IEEE Computer Society , 2014. 34-38 p.
Multi-objective optimization, robust solutions, uncertainty, weights robustness
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-111090DOI: 10.1109/IEEM.2014.7058595OAI: oai:DiVA.org:su-111090DiVA: diva2:774227
IEEM 2014 2014 IEEE International Conference on Industrial Engineering and Engineering Management 9 - 12 December 2014, Malaysia