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196 results for “Genetic algorithm (GA)”
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Research ArticleOpen accessEvery word in the titleMultivalent Optimizer-Based Hybrid Genetic Algorithm for Task Scheduling in Cloud ApplicationsMeena Malik, Bhavna Gupta, Chander Prabha et al.Cloud computing platforms provide on-demand online services without the need for direct user management. Generally, big clouds distribute functions over multiple data centers at distant locations. The major facilities offered by clouds are based upon virtual machines which provide benefits in terms of low scheduling cost, improved accessibility and availability of cloud services. While transferring the tasks for effective scheduling, … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,900 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,007 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA GPU-Based Genetic Algorithm for the Multiple Allocation P-Hub Median ProblemAchraf Berrajaa, Ayyoub El Outmani, Abdelhamid BenainiAs the sizes of realistic hub location problems increase as time goes on (reaching thousands of nodes currently) this makes such problems difficult to solve in a reasonable time using conventional computers. This study aims to show that such problems may be solved in a short computing time and with high-quality solutions using the computational power of the GPU (actually … …Journal of Computer Science, Vol. 19, Issue 5 · 28 Apr 2023 · 6,267 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConstrained Modified Genetic Algorithm for Optimizing RICE Climate Change Model PolicyHaitham OsmanThe objective of this paper is to use evolutionary algorithm for policy making to help in decision support, the Regional Integrated Climate-Economy (RICE) model for the dynamic climate change is used to optimize the tradeoff policy between abating of carbon dioxide emissions to reduce global climate change and in the other hand the resulting in economic damages. A Constrained Genetic … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 12 Apr 2017 · 7,508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimizing the Newspaper Distribution Scenarios using Genetic Algorithm: A Case Study of IndiaSachin Suresh Kamble, Rakesh Raut, Shradha Ashok GawankarThis paper attempts to optimize the various newspaper distribution scenario as observed in India. It found from the literature that earlier research work carried out in optimizing the vehicle routing networks problem using time window and scope was limited to distribution from newspaper printing location to the vendor point of distribution. This paper focuses on the distribution of newspaper from … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 8,187 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrating a Repairing-based Genetic Algorithm-Neighborhood Search Structure in Solving the Course Timetabling ProblemChong-Keat Teoh, Habibollah Haron, Antoni Wibowo, Mohd. Salihin NgadimanThe course timetabling problem is not a trivial task as it is an NP-hard and NP-complete problem and many solutions have been proposed due to its high complexity search landscape. In essence, the nature of the course timetabling problem is to assign a lecturer-course entity to existing teaching venue and timeslot in an academic institution. In this article, the authors … …Journal of Computer Science, Vol. 12, Issue 10 · 15 Dec 2016 · 7,102 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBroken Character Image Restoration Using Genetic Snake Algorithm: Deep Concavity ProblemQusay Omran Mosa, Mohammad Faidzul NasrudinActive contours also known as snakes became a familiar and widely used in the field of image segmentation and restoration of historical documents in last few decades. Gradient Vector Flow (GVF) snake successes in overcome of converge to boundary concavities which represents the drawback of traditional snakes. Deep concavity problem it has become Obstacle faced GVF snake when restoring broken … …Journal of Computer Science, Vol. 12, Issue 2 · 22 Mar 2016 · 7,350 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParameters Optimization of Adaptive Cashew Shelling Cutter Based on BP Neural Network and Genetic AlgorithmYun-Fei Fu, Jie Gong, Hui Huang et al.The aim of this study is to determine the optimal parameters of the adaptive cashew shelling cutter. To meet the requirements of cashew nut processing enterprises, this study takes the whole-kernel rate as the optimization objective. Let the three main parameters of the adaptive cashew shelling cutter: The distance between upper and lower cutters, the pre-pressure of the spring and … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 1 Nov 2015 · 7,903 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGenetic Algorithm for Variable and Samples Selection in Multivariate Calibration ProblemsKelton de Souza Santiago, Anderson Silva Soares, Telma Woerle de Lima et al.One of the main problems of quantitative analytical chemistry is to estimate the concentration of one or more species from the values of certain physicochemical properties of the system of interest. For this it is necessary to construct a calibration model, i.e., to determine the relationship between measured properties and concentrations. The multivariate calibration is one of the most successful … …Journal of Computer Science, Vol. 11, Issue 4 · 8 Jun 2015 · 7,381 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA GENETIC ALGORITHM FOR A SIMULTANEOUS OPTIMISATION OF COST-RISK REDUCTION UNDER A JUST-IN-TIME ADAPTIONFaraj El Dabee, Romeo Marian, Yousef AmerJust-In-Time (JIT) as a lean manufacturing approach plays a significant role in minimising costs and performances of products and services supplied to the global marketplace. However, there are many potential risks that cause significant disruptions to all supply chain members. This study proposes a genetic approach for optimising a novel mathematical model for simultaneously minimising the total cost of a … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 7,692 accessesView PDFCite