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AAAI
2012
11 years 10 months ago
Optimizing Payments in Dominant-Strategy Mechanisms for Multi-Parameter Domains
In AI research, mechanism design is typically used to allocate tasks and resources to agents holding private information about their values for possible allocations. In this conte...
Lachlan Thomas Dufton, Victor Naroditskiy, Maria P...
NCA
2007
IEEE
13 years 7 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 1 months ago
An Evolutionary Approach with Pharmacophore-Based Scoring Functions for Virtual Database Screening
We have developed a new tool for virtual database screening. This tool, referred to as the Generic Evolutionary Method for molecular DOCKing (GEMDOCK), combines an evolutionary app...
Jinn-Moon Yang, Tsai-Wei Shen, Yen-Fu Chen, Yi-Yua...
FSTTCS
2004
Springer
14 years 1 months ago
Join Algorithms for the Theory of Uninterpreted Functions
The join of two sets of facts, E1 and E2, is defined as the set of all facts that are implied independently by both E1 and E2. Congruence closure is a widely used representation f...
Sumit Gulwani, Ashish Tiwari, George C. Necula
EMO
2005
Springer
68views Optimization» more  EMO 2005»
14 years 1 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg