GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Academic literature has documented for a long time the existence of important price gains in the first trading day of initial public offerings (IPOs). Most of the empirical analys...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control var...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...