Sciweavers

CEC
2005
IEEE
13 years 10 months ago
An empirical analysis of the grouping genetic algorithm: the timetabling case
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
Rhydian Lewis, Ben Paechter
CEC
2005
IEEE
13 years 10 months ago
On the complexity of overcoming gaps with isotropic mutations and elitist selection
We consider the (1+λ) evolution strategy, an evolutionary algorithm for minimization in Rn , using isotropic mutations. Thus, for instance, Gaussian mutations adapted by the 1/5-r...
Jens Jägersküpper
CEC
2005
IEEE
13 years 10 months ago
Formation of modules in a computational model of embryogeny
An investigation is conducted into the effects of a complex mapping between genotype and phenotype upon a simulated evolutionary process. A model of embryogeny is utilised to grow ...
Chris P. Bowers
CEC
2005
IEEE
13 years 10 months ago
An ant algorithm hyperheuristic for the project presentation scheduling problem
Abstract- Ant algorithms have generated significant research interest within the search/optimisation community in recent years. Hyperheuristic research is concerned with the devel...
Edmund K. Burke, Graham Kendall, Dario Landa Silva...
CEC
2005
IEEE
13 years 10 months ago
A population-based, steady-state procedure for real-parameter optimization
Despite the existence of a number of procedures for real-parameter optimization using evolutionary algorithms, there is still a need of a systematic and unbiased comparison of di...
Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb
CEC
2005
IEEE
13 years 10 months ago
Multidimensional epistasis and the advantage of sex
Kondrashov and Kondrashov (2001) point out that, although common in population genetic models, epistatic systems where the fitness of a genotype is a non-linear function of the num...
Richard A. Watson, John Wakeley
CEC
2005
IEEE
13 years 10 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
CEC
2005
IEEE
13 years 10 months ago
Performance of aggregation pheromone system on unimodal and multimodal problems
This paper describes and analyzes the aggregation pheromone system (APS) algorithm, which extends ant colony optimization (ACO) to continuous domains. APS uses the collective behav...
Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
CEC
2005
IEEE
13 years 10 months ago
Music evolution in a complex system of interacting agents
The evolution of music, from random note strings to certain “pleasant” note sequences, is traced in a multi-agent computational model. A community of agents, with some musical ...
Tao Gong, Qian Zhang, Hua Wu
CEC
2005
IEEE
13 years 10 months ago
Efficient global optimization (EGO) for multi-objective problem and data mining
In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation with the surrogate model, objective fu...
Shinkyu Jeong, Shigeru Obayashi