Randomized interpolation: a crossover operator producing children at a constraint transition

Authors:
Steven Orla Kimbrough;David Harlan Wood
Affiliations:
University of Pennsylvania, Philadelphia, PA, USA;University of Delaware, Newark, DE, USA
Venue:
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Year:
2010

Citing 3
Cited 0

Genetic Algorithms Reference

Genetic Algorithms Reference
On repair by binary interpolation

Proceedings of the 9th annual conference on Genetic and evolutionary computation
Effective heuristic methods for finding non-optimal solutions of interest in constrained optimization models

Proceedings of the 12th annual conference on Genetic and evolutionary computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We introduce a type of genetic crossover operation between an arbitrary feasible solution and any infeasible solution to a constrained optimization model (COModel). This crossover operator produces a feasible-infeasible pair on the boundary, that is, the individuals in the resulting pair of solutions are minimally different.