Results 271 to 280 of about 1,388,322 (334)

Vendor selection using genetic algorithm

The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, 2012
Selecting the right vendor is a complex business decision due to a huge number of competing vendors with a large number of complex criteria. The organization will suffer in the long run if vendors are not chosen wisely. Under multi criteria decision making, an algorithm, named VSFI, based on fuzzy clustering was proposed to select the most optimal ...
Shaila Sharmeen, M. Ameer Ali, Shamim Ripon, Md. Humayun Kabir, Nikhil Chandra Shil   +4 more
openaire   +1 more source

Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning

International Conference on Telecommunications and Signal Processing, 2019
Android platform due to open source characteristic and Google backing has the largest global market share. Being the world’s most popular operating system, it has drawn the attention of cyber criminals operating particularly through wide distribution of ...
Anam Fatima, Ritesh Maurya, M. Dutta, Radim Burget, J. Masek   +4 more
semanticscholar   +1 more source

Genetic Algorithms and Model Selection

2017
With the rise of competition in the market, enhancing the marketing strategies has become the main interest of business owners to increase their revenues. And in order to achieve that, the main factor is to have science-based tactics like the ones provided by MassTer, the MMM software that uses advanced algorithms to estimate marketing mix models such ...
Ayari, Amani, Sayadi, Mounir
openaire   +1 more source

Genetic algorithms in feature selection

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), 2003
We use a genetic algorithm (GA) for the feature selection problem. The method explores the space of possible subsets to obtain the set of features that maximizes the predictive accuracy and minimizes irrelevant attributes. We introduce a multiple correlation in a fitness function used by the GA to evaluate the fitness of each feature subset regarding ...
N. Chaikla, null Yulu Qi
openaire   +1 more source

Biologically Inspired Parent Selection in Genetic Algorithms

Annals of Operations Research, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Drezner, Zvi, Drezner, Taly Dawn
openaire   +2 more sources

Gene Selection Using Genetic Algorithms

2004
Microarrays are emerging technologies that allow biologists to better understand the interactions between disease and normal states, at genes level. However, the amount of data generated by these tools becomes problematic when data are supposed to be automatically analyzed (e.g., for diagnostic purposes).
Bruno Feres de Souza, André C. P. L. F. de Carvalho   +1 more
openaire   +1 more source

Portfolio Selection Using Genetic Algorithm [PDF]

, 2012
The selection of optimal portfolios is the central problem of financial investment decisions. Mathematically speaking, portfolio selection refers to the formulation of an objective function that determines the weights of the portfolio invested in each asset as to maximize return and minimize risk. This paper applies the method of genetic algorithm (GA)
sefiane, slimane, Benbouziane, Mohamed
openaire  

Selective Hydrogen Oxidation Catalysts via Genetic Algorithms

Advanced Synthesis & Catalysis, 2008
AbstractSolid “oxygen reservoirs,” such as doped ceria, can be successfully applied in a novel process for the oxidative dehydrogenation of propane. The ceria lattice oxygen selectively burns hydrogen from the dehydrogenation mixture at 550 °C. This gives three key advantages: it shifts the dehydrogenation equilibrium to the desired product side ...
Beckers, J., Clerc, F., Blank, J.H., Rothenberg, G.   +3 more
openaire   +4 more sources

Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification

Knowledge-Based Systems, 2021
Yu Xue, Hao Zhu, Jiayu Liang, A. Słowik
semanticscholar   +1 more source

Algorithm Selection on Adaptive Operator Selection: A Case Study on Genetic Algorithms

2021
The present study applies Algorithm Selection (AS) to Adaptive Operator Selection (AOS) for further improving the performance of the AOS methods. AOS aims at delivering high performance in solving a given problem through combining the strengths of multiple operators.
openaire   +1 more source