Results 81 to 90 of about 788,042 (240)

The effect of population structure on the rate of convergence of genetic algorithms [PDF]

, 1993
Po Hsiang Chu, Susan A. Dudley
openalex   +1 more source

Genetic algorithms in seasonal demand forecasting [PDF]

The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand function is shown in the first section of the article.
Chodak, Grzegorz, Kwaśnicki, Witold
core   +1 more source

Genetic algorithms for protein tertiary structure prediction [PDF]

, 1993
Steffen Schulze-Kremer
openalex   +1 more source

Optimization of surface roughness in CNC end milling using response surface methodology and genetic algorithm

, 1970
K. Vijaya Kumar Reddy, Jitender Kumar, K. Vijaya Kumar Reddy   +2 more
openalex   +1 more source

Manipulating subpopulations of feasible and infeasible solutions in genetic algorithms [PDF]

, 1993
D. Ansa Sekharan, Roger L. Wainwright
openalex   +1 more source

Convergence properties of simple genetic algorithms [PDF]

The essential parameters determining the behaviour of genetic algorithms were investigated. Computer runs were made while systematically varying the parameter values.
Bethke, A. D., Strauss, D. M., Zeigler, B. P.   +2 more
core   +1 more source

Training Neural Networks with a Procedure Guided by BNF Grammars

Big Data and Cognitive Computing
Artificial neural networks are parametric machine learning models that have been applied successfully to an extended series of classification and regression problems found in the recent literature.
Ioannis G. Tsoulos , Vasileios Charilogis   +1 more
doaj   +1 more source

Genetic Algorithms and the Inverse Problem of Electromagnetic Radiation

, 1970
Arturo Rangel‐Merino, Roberto Linares y Miranda, J. López‐Bonilla   +2 more
openalex   +2 more sources

Genetic Algorithms: Genesis of Stock Evaluation [PDF]

The uncertainty of predicting stock prices emanates pre-eminent concerns around the functionality of the stock market. The possibility of utilising Genetic Algorithms to forecast the momentum of stock price has been previously explored by many ...
Rama Prasad Kanungo
core  

Adaptive Genetic Algorithm

CIT. Journal of computing and information technology, 1998
In this paper we introduce an adaptive, 'self-contained' genetic algorithm (GA) with steady-state selection. This variant of GA utilizes empirically based methods for calculating its control parameters. The adaptive algorithm estimates the percent of the population to be replaced with new individuals (generation gap).
Jakobović, Domagoj, Golub, Marin
openaire   +2 more sources