Sciweavers

GECCO
2005
Springer
384views Optimization» more  GECCO 2005»
15 years 2 months ago
A case study of process facility optimization using discrete event simulation and genetic algorithm
Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries. This paper pr...
Keshav P. Dahal, Stuart Galloway, Graeme M. Burt, ...
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 2 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
GECCO
2005
Springer
266views Optimization» more  GECCO 2005»
15 years 2 months ago
Total synthesis of algorithmic chemistries
Algorithmic Chemistries are Artificial Chemistries that aim at algorithms. In this contribution we present a new algorithm to execute Algorithmic Chemistries during evolution. Th...
Christian Lasarczyk, Wolfgang Banzhaf
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 2 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 2 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
Optimization
Top of PageReset Settings