This short paper introduces the chromatic selection, a simple technique implementable with few tens of lines of code, that enable handling multi-value fitness functions with a single-objective evolutionary optimizer. The chromatic selection is problem independent, requires no parameter tuning, and can be used as a drop-in replacement for both parent and survival selections. The resulting tool will not be a full-fledged multi-objective optimizer, lacking the ability to manage Pareto fronts, but it will efficiently seek a single, reasonable, compromise solution. In several practical problems, the time saved, both in computation and development, could represent a substantial advantage.

Chromatic Selection – An Oversimplified Approach to Multi-objective OptimizationApplications of Evolutionary Computation / Squillero, Giovanni. - STAMPA. - 9028:(2015), pp. 681-689. (Intervento presentato al convegno EvoAPPS) [10.1007/978-3-319-16549-3_55].

Chromatic Selection – An Oversimplified Approach to Multi-objective OptimizationApplications of Evolutionary Computation

SQUILLERO, Giovanni
2015

Abstract

This short paper introduces the chromatic selection, a simple technique implementable with few tens of lines of code, that enable handling multi-value fitness functions with a single-objective evolutionary optimizer. The chromatic selection is problem independent, requires no parameter tuning, and can be used as a drop-in replacement for both parent and survival selections. The resulting tool will not be a full-fledged multi-objective optimizer, lacking the ability to manage Pareto fronts, but it will efficiently seek a single, reasonable, compromise solution. In several practical problems, the time saved, both in computation and development, could represent a substantial advantage.
2015
9783319165486
9783319165493
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2600758
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