18 citations · 56 across the 6 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.NE2017★ 13 cited
PasMoQAP: A Parallel Asynchronous Memetic Algorithm for solving the Multi-Objective Quadratic Assignment Problem
Claudio Sanhueza, Francia Jimenez, Regina Berretta +1
Multi-Objective Optimization Problems (MOPs) have attracted growing attention during the last decades. Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used to…
cs.AI2017★ 1 cited
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks
Shannon Fenn, Pablo Moscato
We consider the effect of introducing a curriculum of targets when training Boolean models on supervised Multi Label Classification (MLC) problems. In particular, we consider how t…