Sciweavers

5114 search results - page 140 / 1023
» Learning for Evolutionary Design
Sort
View
ESWA
2010
105views more  ESWA 2010»
14 years 7 months ago
A numerical comparison between simulated annealing and evolutionary approaches to the cell formation problem
The Cell Formation Problem is a crucial component of a cell production design in a manufacturing system. This problem consists of a set of product parts to be manufactured in a gr...
Andres Pailla, Athila R. Trindade, Victor Parada, ...
CEC
2008
IEEE
15 years 4 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
CEC
2008
IEEE
15 years 4 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
EPIA
2007
Springer
15 years 4 months ago
Improving Evolutionary Algorithms with Scouting
The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 4 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks