Results 11 to 20 of about 239,089 (293)
Optimizing Random Forest using Genetic Algorithm for Heart Disease Classification
Heart disease is a leading cause of death worldwide, and the need for effective predictive systems is a major source of the need to treat affected patients.
Parmonangan R. Togatorop +3 more
doaj +1 more source
The security incidents ion networks are sudden and uncertain, it is very hard to precisely predict the network security situation by traditional methods.
Haibo Zhang +3 more
doaj +1 more source
Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Li, Chenghua +3 more
core +1 more source
Genetic Algorithm (GA) for Multiprocessors Scheduling
In a multiprocessors environment, an algorithm is used to effectively delegate tasks to the processors. The algorithm act as the resource distributor and controller to ensure that the processors are equally utilized thus optimizing the usage of the processors.
Sainuddin Mohd Jufri +6 more
openaire +2 more sources
Exploring human genome feature for improving genetic algorithm performance [PDF]
Genetic algorithm (i.e., GA) has longtermly obtained an extensive recognition for solving the optimization problem. Its pipelines process, which involves several operations, has been applied in many NP-hard problems, including the transportation network ...
Zukhruf Febri +4 more
doaj +1 more source
Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller
In this paper, the genetic algorithm (GA) which is a stochastic optimization algorithm is proposed. The genetic algorithm is echoing the natural selection and genetics. The control of the suggested plant can be done in different ways.
Ghaith Majd Fadhil +2 more
doaj +1 more source
Multiple traffic signal control using a genetic algorithm [PDF]
Optimising traffic signal timings for a multiple-junction road network is a difficult but important problem. The essential difficulty of this problem is that the traffic signals need to coordinate their behaviours to achieve the common goal of optimising
Cumming, A, Kalganova, T, Russell, G
core +1 more source
Genetic Drift and its Effects on the Performance of Genetic Algorithm(GA)
A genetic algorithm (GA) is a meta-heuristic computation method that is inspired by Darwin's theory of evolution. GA has a promising future in optimization and search problems. It has caught the interest of researchers in the fields of data science, artificial intelligence, and mathematics among many others.
Ullah, S, Masood, M
openaire +2 more sources
Topology optimization of computer communication network based on improved genetic algorithm
The topology optimization of computer communication network is studied based on improved genetic algorithm (GA), a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the ...
Ai Hua +3 more
doaj +1 more source
Full model selection in the space of data mining operators [PDF]
We propose a framework and a novel algorithm for the full model selection (FMS) problem. The proposed algorithm, combining both genetic algorithms (GA) and particle swarm optimization (PSO), is named GPS (which stands for GAPSO-FMS), in which a GA is ...
Mayo, Michael +2 more
core +2 more sources

