Results 311 to 320 of about 586,435 (341)
Some of the next articles are maybe not open access.
Feature selection using genetic algorithms
2020ÖZET Bu çalışmada sınıflandırmada öge seçimi problemini inceledik. Bu amaç için Genetik Yordamlar ve Sırayla Geri Arama (SGA) teknikleri kullanıldı. Bu iki yöntemin de sınıflamadaki basan oranını düşürmeden sınıflamada kullanılan öge sayışım azaltma basanları ölçüldü, öge seçiminde kullanılan, başka araştırmacılar tarafından uygulanmış diğer yöntemler ...
openaire +1 more source
Portfolio selection using genetic algorithms
International Journal of Natural and Applied Sciences, 2012The study of portfolio optimization pioneered by Harry Markowitz in his mean-variance (E-V) model is undoubtedly a popular research area in finance. The combination of different assets in a master asset often called a portfolio is more profitable than holding a single asset, since the risk of investment is diversified away without necessarily degrading
openaire +1 more source
Selection Analysis in Genetic Algorithms
1998This paper describes a formal framework for the analysis of genetic algorithms. The model is based on the idea that over the space of populations an equivalence relation can be defined, as well as a metric on the space of equivalence classes induced by this relation.
openaire +1 more source
Selecting Valuable Stock Using Genetic Algorithm
2006In this study, we utilize the genetic algorithm (GA) to select high quality stocks with investment value. Given the fundamental financial and price information of stocks trading, we attempt to use GA to identify stocks that are likely to outperform the market by having excess returns. To evaluate the efficiency of the GA for stock selection, the return
Chengxiong Zhou +4 more
openaire +1 more source
Genetic algorithm attributes for component selection
Research in Engineering Design, 1996This paper uses a genetic algorithm for component selection given a user-defined system layout, a database of components, and a defined set of design specifications. A genetic algorithm is a search method based on the principles of natural selection. An introduction to genetic algorithms is presented, and genetic algorithm attributes that are useful ...
openaire +1 more source
Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
exaly
The Arithmetic Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering, 2021Laith Mohammad Abualigah +2 more
exaly
Spinal Extradural Metastasis: Review of Current Treatment Options
Ca-A Cancer Journal for Clinicians, 2008Ronald H M A Bartels +2 more
exaly

