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» Fractal Algorithm for Finding Global Optimal Solution
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AI
2010
Springer
14 years 6 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
AAAI
2000
14 years 11 months ago
Divide-and-Conquer Frontier Search Applied to Optimal Sequence Alignment
We present a new algorithm that reduces the space complexity of heuristic search. It is most effective for problem spaces that grow polynomially with problem size, but contain lar...
Richard E. Korf, Weixiong Zhang
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 3 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
ECCV
2008
Springer
15 years 8 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
AAIM
2009
Springer
123views Algorithms» more  AAIM 2009»
15 years 4 months ago
Efficiently Generating k-Best Solutions to Procurement Auctions
: © Efficiently Generating k-Best Solutions to Procurement Auctions Andrew Byde, Terence Kelly, Yunhong Zhou, Robert Tarjan HP Laboratories HPL-2009-163 procurement, auctions, dec...
Andrew Byde, Terence Kelly, Yunhong Zhou, Robert E...