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17 results for “Parallel genetic algorithm”
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Research ArticleOpen accessPhrase in the titlePerformance Analysis of Multi Clustered Parallel Genetic Algorithm with Gray ValueP. Vishnu Raja, V. Murali BhaskaranProblem statement: Encoding is one of the major factors in genetic algorithms, for a complex problem the optimality for the problem is determined. The encoding mechanism is the initial step which forms the chromosome to form the best fit individuals in the entire population. The proposed method tries to encode the initial population by the binary encoding and by gray … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 7,163 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Investigation of Using Parallel Genetic Algorithm for Solving the Shortest Path Routing ProblemSalman Yussof, Rina Azlin Razali, Ong Hang SeeProblem statement: Shortest path routing is the type of routing widely used in computer network nowadays. Even though shortest path routing algorithms are well established, other alternative methods may have their own advantages. One such alternative is to use a GA-based routing algorithm. According to previous researches, GA-based routing algorithm has been found to be more scalable and insensitive to … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybridization of Genetic Algorithm with Parallel Implementation of Simulated Annealing for Job Shop SchedulingThamilselvan Rakkiannan, Balasubramanie PalanisamyProblem statement: The Job Shop Scheduling Problem (JSSP) is observed as one of the most difficult NP-hard, combinatorial problem. The problem consists of determining the most efficient schedule for jobs that are processed on several machines. Approach: In this study Genetic Algorithm (GA) is integrated with the parallel version of Simulated Annealing Algorithm (SA) is applied to the job shop … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,056 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Intelligence Based Genetic Algorithm for Job Sequencing Problem on Parallel Mixed-Model Assembly LineA. Norozi, M.K.A. Ariffin, N. IsmailProblem statement: In the area of globalization the degree of competition in the market increased and many companies attempted to manufacture the products efficiently to overcome the challenges faced. Approach: Mixed model assembly line was able to provide continuous flow of material and flexibility with regard to model change. The problem under study attempted to describe the mathematical programming limitation … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 9,341 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimizing Clusters Alignment for Bilingual Malay-English CorporaRayner Alfred, Chan Chen Jie, Ng Zhen Wei et al.Bilingual corpora, containing the same documents in two different languages, are becoming an essential resource for natural language processing. Clustering bilingual corpora provides us with an insight into the differences between languages when term frequency-based Information Retrieval (IR) tools are used. It also allows one to use the Natural Language Processing (NLP) and IR tools in one language to implement … …Journal of Computer Science, Vol. 8, Issue 12 · 26 Nov 2012 · 7,144 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Genetic Based Neuro Fuzzy Technique for Process Grain Sized Scheduling of Parallel JobsSadasivam Vijayakumar Sudha, Keppanagowder ThanushkodiProblem statement: In this study, we present the development of genetic algorithm based neuro fuzzy technique for process grain sized in scheduling of parallel jobs with the help of real lIfe workload data. Approach: The study uses the rule based scheduling strategy for the scheduling and classIfies all possible scheduling strategies. The rule bases are developed with the help of … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 accessIn the abstractPerformance 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 accessIn the abstractA 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 abstractAN EFFECTIVE OPTIMIZED GENETIC ALGORITHM FOR SCALABLE INFORMATION RETRIEVAL FROM CLOUD USING BIG DATAR. Palson Kennedy, T. V. GopalThe distributed computations are broadly used in the current world for processing large scale jobs. For data intensive applications with big data, it has recently received a very good attention. A simple programming model that allows easy development of scalable parallel applications to process big data on large clusters was required. In our proposed work the input files will be … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,671 accessesView PDFCite