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105 results for “Genetic Algorithms (GA)”
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Research ArticleOpen accessIn the abstractFractal Images Compressing by Estimating the Closest Neighborhood with Using of Schema TheoryMahdi Jampour, Mahdi Yaghoobi, Maryam AshourzadehProblem statement: One of the methods used for compressing images and especially natural images is by benefiting from fractal features of images. Natural images have properties like Self-Similarity that can be used in image compressing. The basic approach in compressing methods is based on the fractal features and searching the best replacement block for the original image. Approach: In this … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,902 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvalesce Optimization for Input Allocation Problem Using Hybrid Genetic AlgorithmMamta Madan, Sushila MadanProblem statement: The purpose of this study was to describe categories of hybrid genetic algorithm and validate that the hybrid genetic algorithm converges to the optimal solution rather than a near optimal solution so that Hybrid Genetic algorithms can be used to solve real world problems and receive significant interest. Approach: We implemented the input allocation problem for a manufacturing … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,010 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Survey of Protein Fold Recognition AlgorithmsMohammed Said Abual-Rub, Rosni AbdullahProblem statement: Predicting the tertiary structure of proteins from their linear sequence is really a big challenge in biology. This challenge is related to the fact that the traditional computational methods are not powerful enough to search for the correct structure in the huge conformational space. This inadequate capability of the computational methods, however, is a major obstacle in facing … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm and Tabu Search Attack on the Mono-Alphabetic Substitution Cipher in Adhoc NetworksA. K. Verma, Mayank Dave, R. C. JoshiWith exponential growth of networked system and application such as e-Commerce, the demand for effective Internet security is increasing. Cryptology is the science and study of systems for secret communication. In consists of two complementary fields of study: cryptography and cryptanalysis. This study presents a cryptanalysis method based on Genetic Algorithm and Tabu Search to break a Mono-Alphabetic Substitution Cipher … …Journal of Computer Science, Vol. 3, Issue 3 · 31 Mar 2007 · 7,257 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Harmony Search to Vehicle RoutingZong Woo Geem, Kang Seok Lee, Yongjin ParkA phenomenon-inspired meta-heuristic algorithm, harmony search, imitating music improvisation process, is introduced and applied to vehicle routing problem, then compared with one of the popular evolutionary algorithms, genetic algorithm. The harmony search algorithm conceptualized a group of musicians together trying to search for better state of harmony. This algorithm was applied to a test traffic network composed of one bus … …American Journal of Applied Sciences, Vol. 2, Issue 12 · 31 Dec 2005 · 12,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Weighted Voting Deep Learning Approach for Plant Disease ClassificationAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabPlant destruction is usually caused by plant diseases. Without early and reliable detection, it can affect the plants and may eventually cause permanent losses, especially for inexperienced farmers. Therefore, intelligence in agriculture is becoming more and more required. Thereafter early diagnosis and classification are crucial and a very challenging research field in the agriculture sector for its treatment. In this … …Journal of Computer Science, Vol. 17, Issue 12 · 16 Dec 2021 · 6,561 accessesView PDFCite
Research ArticleOpen accessIn the abstractA SURVEY: PARTICLE SWARM OPTIMIZATION-BASED ALGORITHMS FOR GRID COMPUTING SCHEDULING SYSTEMSFaruku Umar Ambursa, Rohaya LatipBio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a relatively more promissing performance in dealing … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,662 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey of Methods for Managing the Classification and Solution of Data Imbalance ProblemKhan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah et al.The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called minority. Over the last few years, several types of research … …Journal of Computer Science, Vol. 16, Issue 11 · 13 Nov 2020 · 10,129 accessesView PDFCite
Review ArticleOpen accessIn the abstractHealthcare Driven by Big Data AnalyticsCheryl Ann Alexander, Lidong WangText messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 28 Sep 2018 · 7,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Viral System Algorithm in Load Balancing of Cloud EnvironmentDamodar Tiwari, Shailendra Singh, Sanjeev SharmaAs the cloud computing technology is gaining popularity with time, more and more users and applications are shifting towards it. This is why clouds are experiencing high load, which demands for load balancing of user tasks submitted to cloud for execution. This makes load balancing of non-preemptive tasks a key issue in cloud computing. Superior task scheduling leads to balanced … …Journal of Computer Science, Vol. 14, Issue 7 · 14 Jul 2018 · 8,411 accessesView PDFCite