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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 7 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...
JAIR
2010
167views more  JAIR 2010»
14 years 11 months ago
The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks
LAMA is a classical planning system based on heuristic forward search. Its core feature is the use of a pseudo-heuristic derived from landmarks, propositional formulas that must b...
Silvia Richter, Matthias Westphal
AAAI
1996
15 years 2 months ago
Nearly Monotonic Problems: A Key to Effective FA/C Distributed Sensor Interpretation?
The fesractioncslly-Qcczdrrcate, cooperative (FA/C) distributed problem-solving paradigm is one approach for organizing distributed problem solving among homogeneous, cooperating ...
Norman Carver, Victor R. Lesser, Robert Whitehair
CP
2007
Springer
15 years 7 months ago
Dealing with Incomplete Preferences in Soft Constraint Problems
We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, situations with several agents providing the data, or with possibl...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
CP
2004
Springer
15 years 6 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith