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ISCI
2007
105views more  ISCI 2007»
15 years 1 months ago
A hybrid genetic algorithm and bacterial foraging approach for global optimization
The social foraging behavior of Escherichia coli bacteria has been used to solve optimization problems. This paper proposes a hybrid approach involving genetic algorithms (GA) and...
Dong Hwa Kim, Ajith Abraham, Jae Hoon Cho
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 5 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
AEI
2005
99views more  AEI 2005»
15 years 1 months 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
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
ARVLSI
1995
IEEE
179views VLSI» more  ARVLSI 1995»
15 years 5 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