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GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
15 years 4 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...
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 4 months ago
A hybrid genetic algorithm for a variant of two-dimensional packing problem
A variant of two-dimensional packing problem was given in the GECCO’2008 competition. This paper describes the genetic algorithm that produced the best result and thus won the N...
Jin Kim, Byung Ro Moon
CEC
2008
IEEE
15 years 4 months ago
Solving deceptive problems using a genetic algorithm with reserve selection
— Deceptive problems are a class of challenging problems for conventional genetic algorithms (GAs), which usually mislead the search to some local optima rather than the global o...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 4 months ago
A genetic algorithm for privacy preserving combinatorial optimization
We propose a protocol for a local search and a genetic algorithm for the distributed traveling salesman problem (TSP). In the distributed TSP, information regarding the cost funct...
Jun Sakuma, Shigenobu Kobayashi
CEC
2005
IEEE
15 years 3 months ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff