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GECCO
2006
Springer
189views Optimization» more  GECCO 2006»
13 years 8 months ago
Game theory as a new paradigm for phenotype characterization of genetic algorithms
In this paper, it is presented a new way to characterize the phenotype in the context of Genetic Algorithms through the use of Game Theory as a theoretical foundation to define a ...
Otávio Noura Teixeira, Artur Noura Teixeira...
EVOW
2004
Springer
13 years 10 months ago
A Hierarchical Social Metaheuristic for the Max-Cut Problem
This paper introduces a new social metaheuristic for the Max-Cut problem applied to a weighted undirected graph. This problem consists in finding a partition of the nodes into two ...
Abraham Duarte, Felipe Fernández, Án...
GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
13 years 6 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
ISCI
2007
105views more  ISCI 2007»
13 years 4 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
2009
Springer
200views Optimization» more  GECCO 2009»
13 years 11 months ago
Optimization of the trading rule in foreign exchange using genetic algorithm
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...