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GECCO
2005
Springer
384views Optimization» more  GECCO 2005»
15 years 10 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 10 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 10 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 10 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 10 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
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