— Developing a problem-domain independent methodology to automatically generate high performing solving strategies for specific problems is one of the challenging trends on hype...
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
In the past several years, significant progress has been made in finding optimal solutions to combinatorial problems. In particular, random instances of both Rubik's Cube, wi...
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
The vehicle routing problems with time windows are challenging delivery problems in which instances involving 100 customers or more can be difficult to solve. There were many inter...