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Pascal Van Hentenryck, Nabeel Gillani, Carleton Coffrin
This paper studies the joint damage assessment and recovery of the power infrastructure after a natural disaster has occurred. Earlier work in this area proposed an optimization algorithm for the recovery phase, assuming that the infrastructure ...
European Conference on Artificial Intelligence (ECAI) - August 2012
Jinbo Huang
Empirical data from recent work has indicated that SAT-based solvers can outperform native search-based solvers on certain classes of problems in qualitative temporal reasoning, particularly for the Interval Algebra (IA). In the present work, we show that...
European Conference on Artificial Intelligence (ECAI) - August 2012
Thao Duong, Nghia Pham, Abdul Sattar
Stochastic local search for satisfiability (SAT) has successfully been applied to solve a wide range of problems. However, it still suffers from a major shortcoming, i.e. being trapped in local minima. In this study, we explore different heuristics to ...
European Conference on Artificial Intelligence (ECAI) - August 2012
We propose a simple method for combining together voting rules that performs a run-off between the different winners of each voting rule. We prove that this combinator has several good properties. For instance, even if just one of the base voting rules ...
European Conference on Artificial Intelligence (ECAI) - August 2012
Matt Thompson, Jason Tangen, Duncan J. McCarthy
Fingerprint experts have testified in criminal courts for over a century, but there have been few scientific investigations of the human capacity to discriminate these patterns. Here we present results from the first tightly controlled experiment of ...
6th European Academy of Forensic Science Conference - August 2012
Jessica Davies, Nina Narodytska, Toby Walsh
Successive elimination of candidates is often a route to making manipulation intractable to compute. We prove that eliminating candidates does not necessarily increase the computational complexity of manipulation. However, for many voting rules used ...
Association for the Advancement of Artificial Intelligence (AAAI 2012) - July 2012
Symmetry is an important problem in many combinatorial problems. One way of dealing with symmetry is to add constraints that eliminate symmetric solutions. We survey recent results in this area, focusing especially on two common and useful cases: ...
Association for the Advancement of Artificial Intelligence (AAAI 2012) - July 2012
Nghia Pham, Thao Duong, Abdul Sattar
A key challenge in developing efficient local search solvers is to effectively minimise search stagnation (i.e. avoiding traps or local minima). A majority of the state-of-the-art local search solvers perform random and/or Novelty-based walks to overcome ...
The Twenty-Sixth Conference on Artificial Intelligence (AAAI-12) - July 2012
Carleton Coffrin, Pascal Van Hentenryck, Russell Bent
This paper considers the restoration of multiple interdependent infrastructures after a man-made or natural disaster. Modern infrastructures feature complex cyclic interdependencies and require a holistic restoration process. This paper presents the ...
Association for the Advancement of Artificial Intelligence (AAAI) - July 2012
Carleton Coffrin, Pascal Van Hentenryck
This paper studies the applicability of the linearized DC model in optimizing power restoration after significant network disruptions. In such circumstances, no AC base-point solution exists and the objective is to maximize the served load. The paper ...
IEEE Power and Energy Annual Meeting - July 2012