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220 results for “Genetic Algorithm”
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Research ArticleOpen accessPhrase in the titleHacking Back: Using Genetic Algorithms to Outsmart HackersGhosoun Al Hindi, Mohammad Alshraideh et al.Web applications are widely used in today's digital landscape, necessitating robust security measures to protect against unauthorized access by malicious users. Ensuring the security of these applications requires effectively identifying and addressing vulnerabilities. This paper proposes an automated methodology for vulnerability detection, utilizing a genetic algorithm to generate test cases, which offers greater efficiency and performance compared to resource-intensive and … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,600 accessesView PDFCite
Research ArticleOpen accessPhrase 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 accessPhrase 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 accessPhrase 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 accessPhrase in the titlePerformance Optimization of Physics Simulations Through Genetic AlgorithmsOksana Shadura, Federico Carminati, Anatoliy PetrenkoThe GeantV R&D approach is revisiting the standard particle transport simulation approach to be able to benefit from “Single Instruction, Multiple Data” (SIMD) computational architectures or extremely parallel systems like coprocessors and GPUs. The goal of this work is to develop a mechanism for optimizing the programs used for High-Energy Physics (HEP) particle transport simulations using a “black-box” optimization approach. … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 8,091 accessesView PDFCite
Research ArticleOpen accessPhrase 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 accessPhrase 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 accessPhrase 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 accessPhrase in the titleA Constraint-Handling Technique for Genetic Algorithms using a Violation FactorAdam Chehouri, Rafic Younes, Jean Perron, Adrian IlincaOver the years, several meta-heuristic algorithms were proposed and are now emerging as common methods for constrained optimization problems. Among them, genetic algorithms (GA’s) shine as popular evolutionary algorithms (EA’s) in engineering optimization. Most engineering design problems are difficult to resolve with conventional optimization algorithms because they are highly nonlinear and contain constraints. In order to handle these constraints, the … …Journal of Computer Science, Vol. 12, Issue 7 · 31 Aug 2016 · 8,751 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleParameter Settings for New Generational Genetic Algorithms for Solving Global Optimization ProblemsSiew Mooi Lim, Md. Nasir Sulaiman, Norwati Mustapha, Abu Bakar Md. SultanThis study operates within experimental design with two main tools of Taguchi method namely orthogonal array and signal to noise ratio to discover the optimal parameter settings for newly proposed generational genetic algorithms; they are Laplace Crossover-Scale Truncated Pareto Mutation (LX-STPM) and Rayleigh Crossover-Scale Truncated Pareto Mutation (RX-STPM). It concluded that GA parameter settings are algorithms and problems dependent. …Journal of Computer Science, Vol. 11, Issue 11 · 7 Jan 2016 · 6,404 accessesView PDFCite