[PDF] Top 20 Formulating a Mathematical Model for the E Nose Application through Genetic Algorithm (GA)
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Formulating a Mathematical Model for the E Nose Application through Genetic Algorithm (GA)
... sensing. E-Nose provides an industry-specific management resolution for the perpetual and real-time monitoring of environmental odor and air quality resulting in higher profit and improved community ... See full document
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Optimization of Intervening Variables in MicroEDM of SS 316L using a Genetic Algorithm and Response-Surface Methodology
... The mathematical model was derived from RSM, and the result of it was used as a fitness function for multi- objective optimization using ...developed mathematical models significantly improve the ... See full document
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Locating distribution/service centers based on multi objective decision making using set covering and proximity to stock market Pages 635-648 Download PDF
... optimization algorithm can effectively (and, most probably, quite successfully) search very large spaces in relatively short time intervals with the objective of finding global optimum ...solutions. Genetic ... See full document
14
Optimal parameters of the SVM for temperature prediction
... Its application to predict the temperature is still relatively small, and domestic, supporting vector regression in real-time forecasting applications (Feng et ...optimization algorithm, the SVM method was ... See full document
6
A Solution of the Container Stacking Problem by Genetic Algorithm
... simulation model for stacking containers in a container terminal through developing and applying a genetic algorithm (GA) for containers location assignment with minimized total lifting ... See full document
5
Modeling and control of heat exchanger by using bio inspired algorithm
... a model for some particular system from given input-output data and the process of deriving a mathematical system model from observed data in accordance with some predetermined ...input) ... See full document
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Pick-up Scheduling of Two-dimensional Loading in Vehicle Routing Problem by using GA
... Abstract--This study considers the application of a genetic algorithm (GA) to the basic vehicle routing problem with tow-dimensional loading constraints (2L-CVRP). Vehicle routing problem ... See full document
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Optimal Sizing Of An Off-Grid Small Hydro-Photovoltaic-Diesel Generator Hybrid Power System For A Distant Village
... 1990s. Genetic Algorithm (GA) was used to minimize the total system cost based on load energy requirements by Kontroulis et ...system. Genetic Algorithm (GA) was used in this ... See full document
6
Heuristic Approaches for Cell Formation in Cellular Manufacturing
... an application of Group Technology (GT) that allows decomposing a manu- facturing system into ...a mathematical model is proposed for CFP and is solved using the Ant Colony Optimization (ACO), ... See full document
9
Identification Of Bergman Minimal Model Parameters In Sprague-Dawley Rats By Novel GWBMO Algorithm
... Several mathematical models have been devised for evaluating the dynamics of ...minimal model through Grey Wolf Bergman Minimal Optimization (GWBMO) ...selected model comprehensively mimics ... See full document
11
Decentralized Two-Level 0-1 Programming through Distributed Genetic Algorithms
... In GAs, it is possible to perform parallel processing in the greater part of the operations included in the algo- rithm. In reproduction operations, however, because it is necessary to calculate evaluation values for ... See full document
6
Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique
... using genetic algorithm and artificial neural ...of genetic algorithm and artificial neural netw The future works include devising more novel techniques for attaining discriminative image ... See full document
11
Sensor Placement in Water Distribution Networks based on Spectral Algorithms
... The applications aimed to explore the feasibility of use the eigenvector centrality as useful tool to simplify the arduous problem of sensor placement, and to investigate the possibility to limit the search for optimal ... See full document
8
AN ENHANCED HYBRID CUCKOO SEARCH AND GENETIC ALGORITHM USING HAAR-LIKE FEATURE FOR SURVEILLANCE VIDEOS.
... of mathematical functions in which image or video is given as input and the extent to which the image is matched is given as ...- GA Algorithm and finally the result of this hybrid algorithm ... See full document
11
Application of a tangent curve mathematical model for analysis of the mechanical behaviour of sunflower bulk seeds
... 110 kN, for which the highest oil yield of the sunflower bulk seeds was obtained. Statistical analysis of the tangent model coefficients determined for fitting the experimental data are presented in Table 1. The ... See full document
8
Comparing Two Meta-Heuristic Approaches for Solving Complex System Reliability Optimization
... The problem that is formulated to solve is for k-out-of-n systems. In binary view, a k-out-of-n:G system works if and only if at least k components work. However, a multi-state weighted k-out-of-n system is in state j or ... See full document
6
A Review on E-Nose and its application in Medical Field
... 2008 In November Vassilis et. al. has proposed a method to identify urinary tract information by electronic nose system .It has been observed that concentration of a particular voc can also be identified using gas ... See full document
5
Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems
... The probability distribution function (pdf) is used to select parents, which is increased as the fitness of the individual is greater. Therefore, two of the moths from the elite individuals are randomly selected as ... See full document
13
Unrelated Parallel Machines Scheduling with the Effect of Aging and Learning under Multi Maintenance Activities
... Abstract Maintenance is important to manufacturing process with a view to sustaining production efficiency. In this study scheduling of unrelated parallel machines with effects of learning and aging and multi maintenance ... See full document
7
Comparative Study of Optimal Power Flow with Different Methods
... The GA Algorithm works by creating an initial population of N possible solutions in the form of candidate ...as genetic material from some previous ... See full document
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