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123
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GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 9 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
122
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GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 9 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
123
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CAV
2000
Springer
89views Hardware» more  CAV 2000»
15 years 8 months ago
Tuning SAT Checkers for Bounded Model Checking
Abstract. Bounded Model Checking based on SAT methods has recently been introduced as a complementary technique to BDD-based Symbolic Model Checking. The basic idea is to search fo...
Ofer Strichman
129
Voted
CONSTRAINTS
2008
89views more  CONSTRAINTS 2008»
15 years 3 months ago
A Reinforcement Learning Approach to Interval Constraint Propagation
When solving systems of nonlinear equations with interval constraint methods, it has often been observed that many calls to contracting operators do not participate actively to th...
Frédéric Goualard, Christophe Jerman...
163
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PAMI
2012
13 years 6 months ago
Learning Optimal Embedded Cascades
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
Mohammad Javad Saberian, Nuno Vasconcelos