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» An Optimal Solution to Room Search Problem
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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 11 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
KI
2009
Springer
15 years 11 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 11 months ago
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios
A genome rearrangement scenario describes a series of chromosome fusion, fission, and translocation operations that suffice to rewrite one genome into another. Exact algorithmic ...
Nikolay Vyahhi, Adrien Goëffon, Macha Nikolsk...
FUIN
2010
93views more  FUIN 2010»
15 years 3 months ago
SAT as a Programming Environment for Linear Algebra
In this paper we present an application of the propositional SATisfiability environment to computing some simple orthogonal matrices and some interesting tasks in the area of cry...
Marian Srebrny, Lidia Stepien
CP
2007
Springer
15 years 11 months ago
Structural Relaxations by Variable Renaming and Their Compilation for Solving MinCostSAT
Searching for optimal solutions to a problem using lower bounds obtained from a relaxation is a common idea in Heuristic Search and Planning. In SAT and CSPs, however, explicit rel...
Miquel Ramírez, Hector Geffner