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» A Mean-Variance Optimization algorithm
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87
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GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 4 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
118
Voted
CORR
1999
Springer
116views Education» more  CORR 1999»
15 years 13 days ago
Efficient and Extensible Algorithms for Multi Query Optimization
Complex queries are becoming commonplace, with the growing use of decision support systems. These complex queries often have a lot of common sub-expressions, either within a singl...
Prasan Roy, S. Seshadri, S. Sudarshan, Siddhesh Bh...
96
Voted
AEI
2005
99views more  AEI 2005»
15 years 20 days ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
82
Voted
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
15 years 6 months ago
Dynamic optimization of migration topology in internet-based distributed genetic algorithms
Distributed Genetic Algorithms (DGAs) designed for the Internet have to take its high communication cost into consideration. For island model GAs, the migration topology has a maj...
Johan Berntsson, Maolin Tang
ARVLSI
1995
IEEE
179views VLSI» more  ARVLSI 1995»
15 years 4 months ago
Algorithms for the optimal state assignment of asynchronous state machines
This paper presents a method for the optimal state assignment of asynchronous state machines. Unlike state assignment for synchronous state machines, state codes must be chosen ca...
Robert M. Fuhrer, Bill Lin, Steven M. Nowick