MCDM'12 - paper no. 5
DESIGN OF OPTIMAL LINEAR SYSTEMS BY MULTIPLE OBJECTIVES
Petr Fiala
Abstract:
Traditional concepts of optimality focus on valuation of already given systems. A new concept of designing optimal systems is proposed. Multi-objective linear programming (MOLP) is a model of optimizing a given system by multiple objectives. In MOLP problems it is usually impossible to optimize all objectives simultaneously in a given system. An optimal system should be tradeoff-free. As a methodology of optimal system design, De Novo programming for reshaping feasible sets in linear systems can be used. Basic concepts of the De Novo optimization are summarized. Possible extensions, methodological and actual applications are presented. The supply chain design problem is formulated and solved by De Novo approach.
Keywords:
Optimization of given systems, design of optimal systems, multiple objectives, De Novo Programming, trade-offs free.
Reference index:
Petr Fiala, (2012), DESIGN OF OPTIMAL LINEAR SYSTEMS BY MULTIPLE OBJECTIVES , Multiple Criteria Decision Making (7), pp. 71-85
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