The typical difficulty of various NP-hard problems varies with simple parameters describing their structure. This behavior is largely independent of the search algorithm, but depe...
The Walksat local search algorithm has previously been extended to handle quantification over variables. This greatly reduces model sizes, but in order to guide greedy moves the a...
We define a new NP search problem, the “local improvement” principle, about labellings of an acyclic, bounded-degree graph. We show that, provably in PV, it characterizes the...
Leszek Aleksander Kolodziejczyk, Phuong Nguyen, Ne...
Case-based reasoning (CBR) aims at using experience from the past in order to guide future problem solving rather than “starting from scratch” every time. We propose a CBR stra...
Optimization problems are more and more complex and their resource requirements are ever increasing. Although metaheuristics allow to significantly reduce the computational complex...