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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 5 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 5 months ago
Voronoi-initializated island models for solving real-coded deceptive problems
Deceptive problems have always been considered difficult for Genetic Algorithms. To cope with this characteristic, the literature has proposed the use of Parallel Genetic Algorith...
Santiago Muelas, José Manuel Peña, V...
GECCO
2008
Springer
274views Optimization» more  GECCO 2008»
15 years 5 months ago
Bacterial foraging oriented by particle swarm optimization strategy for PID tuning
Proportional integral derivative (PID) controller tuning is an area of interest for researchers in many disciplines of science and engineering. This paper presents a new algorithm...
Wael Mansour Korani
125
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GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 5 months ago
Stock trading strategies by genetic network programming with flag nodes
Genetic Network Programming (GNP) has been proposed as a graph-based evolutionary algorithm. GNP works well especially in dynamic environments due to its graph structures. In addi...
Shingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hira...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 5 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello