Handling soft constraints via composite concave programming

A Byrne (), M Sniedovich () and L Churilov ()
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A Byrne: The University of Melbourne
M Sniedovich: The University of Melbourne
L Churilov: The University of Melbourne

Journal of the Operational Research Society, 1998, vol. 49, issue 8, 870-877

Abstract: Abstract In this discussion we propose a method for handling soft constraints in situations where the decision-maker can associate a cost function with the ‘right-hand side’ values of these constraints that satisfies the usual economies of scale property of decreasing marginal costs. The method constitutes a natural application of composite concave programming, and seems to be particularly suited for situations where the underlying problem is of the linear/quadratic programming type.

Keywords: composite concave programming; goal programming; sensitivity analysis; soft constraints (search for similar items in EconPapers)
Date: 1998
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DOI: 10.1057/palgrave.jors.2600592

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