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IJCAI
2003
15 years 6 months ago
Automated Generation of Understandable Contingency Plans
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
Max Horstmann, Shlomo Zilberstein
ICTAI
2009
IEEE
15 years 2 months ago
Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...
Paskorn Champrasert, Junichi Suzuki, Tetsuo Otani
SIAMJO
2011
14 years 11 months ago
Approximating Semidefinite Packing Programs
In this paper we define semidefinite packing programs and describe an algorithm to approximately solve these problems. Semidefinite packing programs arise in many applications s...
Garud Iyengar, David J. Phillips, Clifford Stein
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 10 months ago
Introducing a watermarking with a multi-objective genetic algorithm
We propose an evolutionary algorithm for the enhancement of digital semi-fragile watermaking based on the manipulation of the image discrete cosine transform (DCT). The algorithm ...
Diego Sal Díaz, Manuel Grana Romay
ERSHOV
1999
Springer
15 years 9 months ago
Multi-agent Optimal Path Planning for Mobile Robots in Environment with Obstacles
Abstract. The paper describes a problem of multi-agent path planning in environment with obstacles. Novel approach to multi-agent optimal path planning, using graph representation ...
Fedor A. Kolushev, Alexander A. Bogdanov