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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 6 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
AAAI
1997
15 years 1 months ago
Summarizing CSP Hardness with Continuous Probability Distributions
We present empirical evidence that the distribution of e ort required to solve CSPs randomly generated at the 50% satis able point, when using a backtracking algorithm, can be app...
Daniel Frost, Irina Rish, Lluís Vila
107
Voted
CDC
2009
IEEE
113views Control Systems» more  CDC 2009»
15 years 5 months ago
Computation of safety control for uncertain piecewise continuous systems on a partial order
— In this paper, the safety control problem for a class of hybrid systems with disturbance inputs and imperfect continuous state information is considered. Under the assumption t...
Michael R. Hafner, Domitilla Del Vecchio
102
Voted
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 6 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
HIS
2008
15 years 1 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...