genetic algorith
Optimization of Fairhurst Cook Model for 2 D Wing Cracks Using Ant Colony Optimization (ACO), Particle Swarm Intelligence (PSO), and Genetic Algorithm (GA)
... DOI: 10.4236/jamp.2018.68134 1590 Journal of Applied Mathematics and Physics generation change. Some of the individuals in the population are replaced by new ones, since the size of the population has to remain fixed and ...
15
Efficient Multiobjective Genetic Algorithm for Solving Transportation, Assignment, and Transshipment Problems
... efficient genetic algorithm for solving multiobjective transportation problem, assignment, and transshipment ...both genetic algorithm (GA) and local search (LS) ...
8
Feature Selection using Multi-objective Genetic Algorith m: A Hybrid Approach
... These genetic algorithm based approaches con- verge to a single optimal or nearly optimal feature sub- ...Multi-objective Genetic Algorithms (MOGAs) are more suitable to deal with the feature se- lection ...
12
Secure Data Transmission by Combining Genetic Algorithm and Steganography Techniques with Visual Cryptography Technique
... Genetic algorith ms are evolutionary algorithms based on the notion of natural selection ...A genetic algorithm has proven to be reliable and powerful optimizat ion technique in a wide variety of ...
5
An Optimistic Web Service Selection using Multi Colony – Particle Swarm Optimization (MC – PSO) algorithm
... are Genetic Algorithm (GA) and Differential Evolution (DE) ...taken Genetic algorithm. In paper [1] the authors said Genetic Algorithm is not suitable because the web service selection efficiency is ...
10
Solving the Balance Problem of On Line Role Playing Games Using Evolutionary Algorithms
... In on-line role-playing games (RPG), each race holds some attributes and skills. Each skill contains several abilities such as physical damage, hit rate, etc. Parts of the attributes and all the abilities are a function ...
9
Majority Vote Feature Selection Algorithm in Software Fault Prediction
... Though filter rankers are classifier independent feature selection methods, wrappers help to obtain relevant feature subset depending on the classification accuracy of a core classifier. The methods search whole feature ...
26
Optimum Frequency Planning For Efficient Channel Utilization
... a genetic algorithm global search with a computationally proficient local search method ...hybrid genetic algorithm and local search process (termed a memetic algorithm) for the ...
6
DETECTION ENVIRONMENT FORMATION METHOD FOR ANOMALY DETECTION SYSTEMS
... The results of the P-ACOC were compared with five (5) algorithms, namely, ACOC, M- ACOC, genetic algorithm (GA), simulating annealing algorithm (SA), and K-means (KM) algorithm. The parameters of each algorithm ...
14
International Journal of Computer Science and Mobile Computing
... Abstract— MANET is a new generation network utility and due to their ad hoc nature it keeps attracted for research and development. MANET can defined using unstable network infrastructure, self-organizing network ...
8
Structure Design Optimization Considering Static and Dynamic Responses
... Abstract — Structure design has been optimized for physically coupled problems. A non-gradient evolutionary genetic algorithm (GA) is employed to optimize the behaviors of isotropic solid structures. A structure ...
7
Population based meta-heuristic techniques for solving optimization problems: A selective survey
... Abstract — Optimization is necessary for finding appropriate solutions to a range of real life problems. Some meta-heuristic techniques, especially population-based techniques have become popular and are widely used. ...
6
Stairs Detection Algorithm for Tri-Star Wheeled Robot and Experimental Validation
... 3) Detection of the Inclination of Robot’s Body: For the heading control of two ultrasonic sensors, a simple control algorithm is implemented. Utilizing the control algorith[r] ...
8
A new approach to the intracardiac inverse problem using Laplacian distance kernel
... Then, the following experiments were performed, both for the one- and two-dimensional models: (a) a method was scrutinized for determining the free parameters of the DSM − SVR algorith[r] ...
25
Enhanced Data Security using RSA Digital Signature with Robust Reversible Watermarking Algorithm in Cloud Environment
... The sending message is encrypted with the help of RSA digital signatures and the information is watermarked in the cover image with the help of robust reversible watermarking algorith[r] ...
5
Weak convergence theorems for common solutions of a system of equilibrium problems and operator equations involving nonexpansive mappings
... In this paper, we investigate the common solution problem of a monotone variational inequality, a system of equilibrium problems, and nonexpansive mappings based on an iterative algorith[r] ...
13
PEIM studies. Because of the difficulties novice
... This module implementation comprised i in-class active instructional and learning activities for solving standard programming problems and tracing the execution of corresponding algorith[r] ...
6
USING DATA ANALYTICS TO EXTRACT KNOWLEDGE FROM MIDDLE-OF-LIFE PRODUCT DATA
... The four domains are: (i) changes in the nature of data and their characteristics, (ii) approaches of data analytics-based transformations, (iii) data analytics algorith[r] ...
21
Concept Based Document Clustering Using Bisecting K Means Algorithm
... CONCLUSION The key contributions of this project are the extraction of related terms of the analyzer terms as concepts for concept-based document clustering by bisecting k-means algorith[r] ...
9
Choice of Cluster Computing System Hadoop and Apache Spark for Network Systems
... The data flow programming model is useful for most applications, but there are applications that cannot effectively use it (iterative tasks, machine learning algorith[r] ...
8