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196 results for “Genetic algorithm (GA)”
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Research ArticleOpen accessIn the keywordsSolving the Robust Design Problem for a Two-Commodity Flow Network with Node FailureNoha Hamdy Radwan, Moatamad Refaat Hassan, Mohamed Eid HusseinThe robust design in a flow network is one of the most important problems. It is defined as searching the optimal capacity that can be assigned to the nodes such that the network still survived even under the node’s failure. This problem is considered NP-hard. So, this study presents a genetic-based algorithm to determine the maximum node capacity for a … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 28 Dec 2020 · 6,593 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSolving Multi-Objective Master Production Scheduling Model of Kalak Refinery System Using Hybrid Evolutionary Imperialist Competitive AlgorithmShereen Saleem Sadiq, Adnan Mohsin Abdulazeez, Habibollah HaronThe improvement of operational planning in the field of oil refinery management is becoming increasingly essential and valid. The influential primary factor, among others, is the ever-changing economic climate. The industry must continually assess the potential impacts of variations in the final product demand, price fluctuations, crude oil compositions and even seek out immediate opportunities within the market. The Master … …Journal of Computer Science, Vol. 16, Issue 2 · 12 Feb 2020 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSubset ARMA Model Identification for Monthly Electricity Consumption DataAmaal El Sayed Abd El Ghany MubarakSubset models can always be highly influential in series analysis, particularly when the data demonstrate a sort of form in periodic behavior with miscellaneous natural period's ranges, specifically; days, weeks, months and years. Subset models can also be effective as they let the number of parameters lower allowing only the really needed ones to be present in the model. Though … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 8 Mar 2019 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimal Components Assignment Problem for Stochastic-Flow NetworksAbdellah Aissou, Abdelhamid Daamouche, Moatamad Refaat HassanComponents assignment problem to maximize the network reliability in the case of each component has both an assignment cost and lead-time is never discussed. Therefore, this paper focuses on solving this problem under the above mentioned constraints. The presented problem is called an Optimal Components Assignment Problem (OCAP) and it is formulated based on three constraints namely total assignment cost, … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 7,538 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLocation-Aware Energy-Efficient Workload Allocation in Geo Distributed Cloud EnvironmentSoha Rawas, Ahmed ZekriThe proliferation of cloud computing relied on the virtualization of the compute and storage resources and provisioning them dynamically according to users’ needs on a pay-per-use model. Massive cloud providers have geo-distributed cloud data centers to ensure service reliability, availability and satisfy user’s need. Therefore, cloud management systems are necessary to increase the profit of cloud providers and to improve … …Journal of Computer Science, Vol. 14, Issue 3 · 13 Mar 2018 · 8,034 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNew Strategy to Optimize Lean Supply Chain Design by Meta-HeuristicThi Hong Dang Nguyen, Thien My DaoThis paper aims at presenting one novel quantitative strategy of optimizing the design of Lean supply chain using Meta-Heuristics. While classifying Lean Manufacturing tools in two categories, namely Functional and Tier Lean tools, we propose a new framework to design the Lean supply chain by implementing the former into a 5-echelon Fat supply chain. As the following step, we investigate … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 9 Mar 2017 · 7,948 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Use of Genetic Optimization for Design of Small Diesel-Battery SubmarineWisnu Wardhana, Meitha SoetardjoDesign of a Small Diesel-Battery Submarine (SDBS) has been carried out using Multi-Objectives Genetic Algorithm optimization combined with Analytical Hierarchy Process to meet the operation requirements. The objective attributes for this optimization are cost and effectiveness. The product of this optimization is a series of cost-effectiveness frontiers in the scattered graph which are used to select alternative designs based on … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 18 Feb 2017 · 7,818 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimal Arrangement of Energy-Dissipating Members for Seismic Retrofitting of Truss StructuresToru Takeuchi, Yusuke Kinouchi, Ryota Matsui, Toshiyuki OgawaAlthough passive response control design is a popular method, an arrangement methodology for energy-dissipating devices in spatial structures has not been established yet. In this study, optimization techniques are applied to arrangements of energy-dissipating devices in truss tower structures. First, a response prediction rule using the response spectrum and the equivalent linearization method is proposed. Then, a genetic algorithm is … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 14 Jul 2015 · 7,619 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA COMPARATIVE STUDY FOR RHODOPSIN PROTEIN FOLDING PROBLEMIman Ahmed Mahmoud, Amr Ahmed Badr, Mostafa Abdel AzimProteins are very important components in any living cells. A number of diseases such as Retinitis pigmentosa, Stargadt-like macular degeneration and Doyne Honeycomb Retinal Dystrophy (DHRD) diseases are shown to result from misfunctioning of proteins. Protein folding problem is a way to predict the best and optimal 3D molecular structure (tertiary structure) of a protein which is then considered to … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 7,071 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGENETIC-BASED NUTRITION RECOMMENDATION MODELS. A.A. Fayoumi, A. A. Hegazy, M. A. BelalEvolutionary computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being widely applied to a variety of problems in many vital fields. Also, Evolutionary Algorithms (EA) which applied the principles of Evolutionary computations, such as genetic algorithm, particle swarm, ant colony and … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,854 accessesView PDFCite