Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

227 results for “Optimization Technique”
Set a search alert
Research ArticleOpen accessIn the abstractSolving School Bus Routing Problem by Intelligent Water Drops AlgorithmAmeera Saleh Jaradat, Mohammed Qassim ShatnawiThe School Bus Routing Problem (SBRP) is an essential subject in the development of transportation. Solving the problem will have a great impact on the transportation systems by improving the quality of the provided service and reducing the operations costs. SBRP tries to find an efficient school buses plan where each bus takes up students from different bus stops and … …Journal of Computer Science, Vol. 16, Issue 1 · 11 Jan 2018 · 8,593 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Process Conditions for the Production of Holocellulase by a Bacillus Species Isolated from Nahoon Beach SedimentsEvelyn N. Fatokun, Uchechukwu U. Nwodo, Ademola O. Olaniran, Anthony I. OkohProduction of holocellulase by a newly isolated marine Bacillus species via submerged fermentation technique at varying cultivation conditions was investigated. Enzyme production was optimized by altering one variable per time. Moreover effect of lignocellulosic saccharides in inducing cellulase and xylanase production was also investigated. The 16S ribosomal Deoxyribonucleic Acid (16S rDNA) gene sequence analysis exhibited 98% sequence similarity of the … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 2 · 8 Apr 2017 · 8,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-LebdehIn 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 (Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 6,452 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 · 8,758 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Objective Evolutionary Optimization of Sandwich Structures: An Evaluation by Elitist Non-dominated Sorting Evolution StrategyIlyani Akmar, A.B, O. Kramer, T. RabczukIn this study, an application of evolutionary multi-objective optimization algorithms on the optimization of sandwich structures is presented. The solution strategy is known as Elitist Non-Dominated Sorting Evolution Strategy (ENSES) wherein Evolution Strategies (ES) as Evolutionary Algorithm (EA) in the elitist Non-dominated Sorting Genetic algorithm (NSGA-II) procedure. Evolutionary algorithm seems a compatible approach to resolve multi-objective optimization problems because it … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 22 Apr 2015 · 7,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractA PARTICLE SWARM OPTIMIZATION APPROACH FOR LOW POWER VERY LARGE SCALE INTEGRATION ROUTINGG. Nallathambi, S. RajaramThis study deals with the particle swarm optimization approach for optimal power dissipation in VLSI interconnect driven routing technique. Interconnect power dissipation is a major challenging research problem in Deep Submicron (DSM) regime that affects the overall circuit performance. The Buffer Insertion Buffer Sizing and Wire Sizing (BISWS) is considered for minimizing the power dissipation in VLSI circuits using interconnect … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 1 Feb 2014 · 6,747 accessesView PDFCite
Research ArticleOpen accessIn the abstract“OPTIMIZATION OF MULTI-COMMODITIES CONSUMER SUPPLY CHAINS FOR-PART I-MODELING”Zeinab Haji Abolhasani, Romeo M. Marian, Lee LoungThis study and its companions (Part II, Part III) will concentrate on optimizing a class of supply chain problems known as Multi-Commodities Consumer Supply Chain (MCCSC) problem. MCCSC problem belongs to Production-Distribution (P-D) planning category. It aims to determine facilities location, consumers’ allocation and facilities configuration to minimize total Cost (CT) of the entire network. These facilities can be manufacturer … …Journal of Computer Science, Vol. 9, Issue 12 · 26 Nov 2013 · 7,852 accessesView PDFCite
Research ArticleOpen accessIn the abstractA SURVEY: PARTICLE SWARM OPTIMIZATION-BASED ALGORITHMS FOR GRID COMPUTING SCHEDULING SYSTEMSFaruku Umar Ambursa, Rohaya LatipBio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a relatively more promissing performance in dealing … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,662 accessesView PDFCite
Research ArticleOpen accessIn the abstractNEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHMAmr Badr, Mostafa Abd El Azeim, Dina EL-GammalParticle Swarm Optimization used to solve a continuous problem and has been shown to perform well however, binary version still has some problems. In order to solve these problems a new technique called New Binary Particle Swarm Optimization using Immunity-Clonal Algorithm (NPSOCLA) is proposed This Algorithm proposes a new updating strategy to update the position vector in Binary Particle Swarm … …Journal of Computer Science, Vol. 9, Issue 11 · 30 Sep 2013 · 6,801 accessesView PDFCite