2266 search results - page 158 / 454 » Evolutionary Algorithms for the Satisfiability Problem |
115
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
128
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CEC
2008
IEEE
15 years 8 months ago
2008
IEEE
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
94
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GECCO
2010
Springer
15 years 6 months ago
2010
Springer
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
105
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CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
132
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...