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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 3 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
GECCO
2000
Springer
156views Optimization» more  GECCO 2000»
15 years 5 months ago
Optimal Mutation Rates and Selection Pressure in Genetic Algorithms
It has been argued that optimal per-locus mutation rates in GAs are proportional to selection pressure and the reciprocal of genotype length. In this paper we suggest that the not...
Gabriela Ochoa, Inman Harvey, Hilary Buxton
ICALP
2000
Springer
15 years 5 months ago
Optimal Projective Algorithms for the List Update Problem
The list update problem is a classical online problem, with an optimal competi
Christoph Ambühl, Bernd Gärtner, Bernhar...
TEC
2010
121views more  TEC 2010»
14 years 8 months ago
Brain-Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker
The centrality of the decision maker (DM) is widely recognized in the multiple criteria decision-making community. This translates into emphasis on seamless human
Roberto Battiti, Andrea Passerini
AAAI
2006
15 years 3 months ago
An Asymptotically Optimal Algorithm for the Max k-Armed Bandit Problem
We present an asymptotically optimal algorithm for the max variant of the k-armed bandit problem. Given a set of k slot machines, each yielding payoff from a fixed (but unknown) d...
Matthew J. Streeter, Stephen F. Smith