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22 results for “Multi-Objective Genetic Algorithm”
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Research ArticleOpen accessPhrase in the titleMulti-objective Genetic Algorithm for Association Rule Mining Using a Homogeneous Dedicated Cluster of WorkstationsS. Dehuri, A. K. Jagadev, A. Ghosh, R. MallThis study presents a fast and scalable multi-objective association rule mining technique using genetic algorithm from large database. The objective functions such as confidence factor, comprehensibility and interestingness can be thought of as different objectives of our association rule-mining problem and is treated as the basic input to the genetic algorithm. The outcomes of our algorithm are the set of … …American Journal of Applied Sciences, Vol. 3, Issue 11 · 30 Nov 2006 · 7,525 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Genetic Algorithm Based Multi Objective Service Restoration in Distribution SystemsSathish Kumar Kannaiah, Jayabarathi Thangavel, D. P. KothariProblem statement: A Genetic Algorithm (GA) used here to find exact or approximate solutions to optimization and search problems. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection and crossover. Approach: GA is a method for search and optimization based on the process of natural selection and evolution. … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 7,034 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 · 7,834 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 · 7,543 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance 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 · 8,096 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStrength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer NetworksSubbaraj Potti, Chitra ChinnasamyProblem statement: A new multi-objective approach, Strength Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing problem. The routing problem is formulated as a multi-objective mathematical programming problem which attempts to minimize both cost and delay objectives simultaneously. Approach: SPEA handles the shortest path routing problem as a true multi-objective optimization problem with competing … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 8,221 accessesView PDFCite
Research ArticleOpen accessIn the abstractModern Metaheuristic with Multi-Objective Formulation for the Variable Selection ProblemLauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle Soares et al.The development of efficient algorithms for variable selection becomes important to deal with large and complex datasets. Most works in quantitative chemical analysis have used Genetic Algorithms (GAs) as a reference method to select variables. On the other hand, new advances in metaheuristic techniques provide novel possibilities in this task Moreover, the application of Multi-Objective Optimization (MOO) may significantly contribute … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe 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 · 7,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Objective Optimization of FRP Jackets for Improving the Seismic Response of Reinforced Concrete FramesCorrado Chisari, Chiara BedonIn this study, a multi-objective Genetic Algorithm (GA) optimization procedure is proposed for the seismic retrofitting of Reinforced Concrete (RC) building frames via Fiber-Reinforced Polymer (FRP) jackets. The optimization problem is solved via numerically efficient but accurate Finite-Element (FE) models able to take into account the strengthening and ductility increase contribution for a given FRP jacketing configuration. Based on a … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 27 Sep 2016 · 8,832 accessesView PDFCite