Global solution of constrained min-max problems with inflationary differential evolution

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
19 Downloads (Pure)


This paper proposes a method for the solution of constrained min-max problems. The method is tested on a benchmark of representative problems presenting different structures for the objective function and the constraints. The particular min-max problem addressed in this paper finds application in optimisation under uncertainty when the constraints need to be satisfied for all possible realisations of the uncertain quantities. Hence, the algorithm proposed in this paper search for solutions that minimise the worst possible outcome for the objective function due to the uncertainty while satisfying the constraint functions in all possible scenarios. A constraint relaxation and a scalarisation procedure are also introduced to trade-off between objective optimality and constraint satisfaction when no feasible solutions can be found.
Original languageEnglish
Pages (from-to)99-145
Number of pages47
JournalOptimization and Engineering
Issue number1
Early online date2 Apr 2021
Publication statusE-pub ahead of print - 2 Apr 2021


  • constrained min-max
  • worst case scenario
  • optimisation
  • uncertainty
  • constraint relaxation
  • scalarisation


Dive into the research topics of 'Global solution of constrained min-max problems with inflationary differential evolution'. Together they form a unique fingerprint.

Cite this