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Optimizing Basic COCOMO Model Using Simplified Genetic Algorithm

Rohit Kumar Sachan, Ayush Nigam, Avinash Singh, Sharad Singh, Manjeet Choudhary, Avinash Tiwari, Dharmender Singh Kushwaha
2016 Procedia Computer Science  
In this research paper, a simplified genetic algorithm based model is proposed. A simplified genetic algorithm is used for optimizing the parameters of the basic COCOMO model.  ...  Many researchers have proposed various models for software effort estimation, such as statistical models, algorithmic models, machine learning based models and nature inspired models in the past.  ...  The Constructive Cost Model (COCOMO) The Constructive Cost Model is a well documented and widely accepted algorithmic model for effort estimation.  ... 
doi:10.1016/j.procs.2016.06.107 fatcat:tr3vwwfbvbgqlog4mlkzbf663i

Development and Validation of a Post-Earthquake Safety Assessment System for High-Rise Buildings Using Acceleration Measurements

Koji Tsuchimoto, Yasutaka Narazaki, Billie F. Spencer
2021 Mathematics  
Finally, a cost-benefit analysis with respect to the number of sensors used is presented.  ...  The proposed framework was demonstrated using simulation of a five-story steel building modeled with three-dimensional nonlinear analysis subjected to historical earthquakes.  ...  The authors also wish to thank the National Research Institute for Earth Science and Disaster Resilience (NIED) in Japan for the use of data from part of a project "Special Project for the Maintenance  ... 
doi:10.3390/math9151758 fatcat:g2zsqzkae5a4hlmbxyn55srsuy

Review on Methodology for Life Cycle Costing of Membrane System for Wastewater Filtration

Nur Syamimi Jiran, Salwa Mahmood, Muhamad Zameri Mat Saman, Mohd Yusof Noordin
2013 Advanced Materials Research  
This paper has review on LCC, cost estimation techniques and several developed cost estimation model in order to determine research gap and research direction on developing a methodology to assessing LCC  ...  Development of cost estimation model or methodology is needed to simplify the LCC analysis so that it able to produce result in short time and more accurate.  ...  Günaydın Based on previous studies, there are many cost estimation models that have been developed for various purposes by using different cost estimation techniques.  ... 
doi:10.4028/www.scientific.net/amr.845.713 fatcat:37dh6qwtpvhhjnrhbpmvj6ncni

Rate-Distortion Modeling for Efficient H.264/AVC Encoding

Yu-Kuang Tu, Jar-Ferr Yang, Ming-Ting Sun
2007 IEEE transactions on circuits and systems for video technology (Print)  
The proposed algorithms can reduce the computation complexity for the R-D optimized mode-decision by using the new cost function evolving from the simplified transform-domain R-D model.  ...  Based on the proposed estimations, a rate-control scheme in the macroblock layer is also proposed to improve the coding efficiency.  ...  Fig. 2 exhibits the accuracies of bit-rate estimation algorithms for Foreman sequence in CIF: the method in [35] ( model), the proposed simplified method in Section II-C ( model), and the -domain linear  ... 
doi:10.1109/tcsvt.2007.894041 fatcat:yvkbels62fesxerzihmvrtmqiy

A priori evaluation of simulation models preparation processes using artificial intelligence techniques

Florence Danglade, Jean-Philippe Pernot, Philippe Véron, Lionel Fine
2017 Computers in industry (Print)  
Once those rules obtained, they can be used on a new case to a priori estimate the impact of a preparation process without having to perform it.  ...  This is particularly true for the adaptation of Computer-Aided Design (CAD) models to Computer-Aided Engineering (CAE) applications, and notably during the CAD models simplification steps.  ...  Some unknown 275 data (simplified model and prepared model) are needed for the output variables estimation. These intermediate variables must be estimated before the output variables.  ... 
doi:10.1016/j.compind.2017.06.001 fatcat:2lirgg5ebbab7ga63tfqzga6ai

Sensorless Simplified Finite Control Set Model Predictive Control of SynRM Using Finite Position Set Algorithm

Behnam Nikmaram, S. Alireza Davari, Peyman Nadri, Cristian Garcia, Jose Rodriguez
2021 IEEE Access  
The model reference adaptive system (MRAS) has been the most successful estimator.  ...  Also, the application of the method for the synchronous reluctance motor (SynRM) is a challenge because of the lack of the rotor model as the adaptive function.  ...  This method is a model-based method and the flux or current error of the motor is used for estimating the position of the motor by means of a PI controller.  ... 
doi:10.1109/access.2021.3068085 fatcat:ytfea76ssncaton7pgphcwpdeu

A multi-criteria model for the evaluation of business benefits in horizontal collaborative networks

Naoufel Cheikhrouhou, Grégory Piot, Michel Pouly
2008 Journal of Intelligent Manufacturing  
We propose a method for evaluating the profits for a collaborative network based on a combination of product realisation graph and core competences identification.  ...  The objective of this work is to develop a model that estimates the benefits in horizontal collaborative networks, for a considered business opportunity, and determines the optimal network configuration  ...  Adrian Plüss, and the Swiss Innovation and Promotion Agency, that funded this research, for their valuable contributions.  ... 
doi:10.1007/s10845-008-0181-6 fatcat:23xjw3qnmfhwdcepz6gprdnh2i

An Estimation Model for Business Benefits in Horizontal Collaborative Networks [chapter]

Grégory Piot, Michel Pouly, Naoufel Cheikhrouhou, Rémy Glardon
2007 Establishing the Foundation of Collaborative Networks  
The objective of this work is to develop a model that estimates the business benefits in horizontal collaborative neflmrks.  ...  We propose a method/or evaluating the benefitsfor a firm to be enrolled in a collaborative network.  ...  PROPOSED MODEL FOR BUSINESS BENEFITS ESTIMATION The proposed model is based on four different phases (see Figure 1 ).  ... 
doi:10.1007/978-0-387-73798-0_36 dblp:conf/ifip5-5/PiotPCG07 fatcat:ifdeo54aefeznjhyfgwnziba7a

A Simplified Multivariate Markov Chain Model for the Construction and Control of Genetic Regulatory Networks

Shu-Qin Zhang, Wai-Ki Ching, Yue Jiao, Ling-Yun Wu, Raymond H. Chan
2008 2008 2nd International Conference on Bioinformatics and Biomedical Engineering  
In this paper, we propose a simplified multivariate Markov model for approximating a PBN.  ...  Numerical experimental examples based on the yeast data are then given to demonstrate the effectiveness of our proposed model and control policy.  ...  CONCLUDING REMARKS In this paper, we proposed a simplified multivariate Markov model for approximating PBNs. Efficient estimation methods are presented to obtain the model parameters.  ... 
doi:10.1109/icbbe.2008.138 fatcat:yo2ptpmtpzhcvcx5tuiajswwxa

Systematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessment

José Sánchez Ramos, MCarmen Guerrero Delgado, Servando Álvarez Domínguez, José Luis Molina Félix, Francisco José Sánchez de la Flor, José Antonio Tenorio Ríos
2019 Energies  
The proposed methodology provides a solution for both of the aforementioned problems, since the amount of data needed is considerably reduced and the results are calibrated using measured values.  ...  Furthermore, the potential for implementation of the methodology is proven by obtaining a comprehensive energy rehabilitation plan for a residential building.  ...  Adaptive Comfort and Optimal Management of Energy Networks" (BIA2016-77431-C2-2-R) funded by Ministry of Economy and Competitiveness (Government of Spain) and European Regional Development's funds (ERDF) for  ... 
doi:10.3390/en12163038 fatcat:szuvja5jaffzphfgqv6fvfzgjq

Cost and cost-effectiveness of a real-world HCV treatment program among HIV-infected individuals in Myanmar

Lara K Marquez, Antoine Chaillon, Kyi Pyar Soe, Derek C Johnson, Jean-Marc Zosso, Andrea Incerti, Anne Loarec, Aude Nguyen, Josephine G Walker, Nyashadzaishe Mafirakureva, Vincent Lo Re III, Adriane Wynn (+6 others)
2021 BMJ Global Health  
We evaluated cost-effectiveness with updated quality-assured generic DAA prices and potential cost-effectiveness of a proposed simplified treatment protocol with updated DAA prices if implemented by the  ...  A Markov model was used to assess cost-effectiveness of the programme compared with no HCV treatment from a health provider perspective.  ...  Acknowledgements We thank Jessica Burry for providing comments that greatly contributed to the clarity and context of the manuscript.  ... 
doi:10.1136/bmjgh-2020-004181 pmid:33627360 fatcat:vzin7ikda5hklhnlrpsonf44rm

Construction and Control of Genetic Regulatory Networks:A Multivariate Markov Chain Approach

Shu-Qin Zhang, Ling-Yun Wu, Wai-Ki Ching, Yue Jiao, Raymond, H. Chan
2008 Journal of Biomedical Science and Engineering  
A simplified model was proposed in Ching et al.  ...  In the simplified model (3) vector multiplication and the cost is O((2n) ) where n we proposed above, the matrix Q can be regarded as a is the number of genes in the network.  ... 
doi:10.4236/jbise.2008.11003 fatcat:cdrqfqstwfbardlw3y6lmpxyai

Simplified Quantification Method on Rebar Work

2019 International journal of recent technology and engineering  
In this study, we investigated the research cases of quantity takeoff process, and analyzed current approximate cost estimate status and problems.  ...  The error level in simplified rebar QTO method on the domestic cases are analyzed and applicability of the simplified QTO method for rebar work is reviewed.  ...  Considering the correlation between the cost items, Moon proposed a cost calculation model to determine the appropriate construction cost reflecting the construction characteristics by calculating the  ... 
doi:10.35940/ijrte.b1089.0982s1019 fatcat:4om2ewsrqzelpfzpy6d7jp3uw4

Layered Model to Estimate Effort, Performance and Cost of the Software Projects

M. Pauline, P. Aruna, B. Shadaksharappa
2013 International Journal of Computer Applications  
A comparative study for effort, performance measurement and cost estimation of the software project is done between the existing model and the proposed model.  ...  Effort Estimation, Cost Estimation and performance measurement of the software projects using our proposed model.  ...  Based on the above results, the proposed method for effort estimation is nearer to the result of other estimation models.  ... 
doi:10.5120/10526-5509 fatcat:wyui7sqj3rcbda7tf3zkal5ixe

Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks

Zheng Yan, Jun Wang
2012 IEEE Transactions on Industrial Informatics  
The optimization problem for nonlinear model predictive control is then formulated as a quadratic programming problem based on successive Jacobian linearization about varying operating points and iteratively  ...  solved by using a recurrent neural network called the simplified dual network.  ...  The simulation results show a fast and stable tracking performance. The overall tracking performance for the proposed method based on three models are all superior.  ... 
doi:10.1109/tii.2012.2205582 fatcat:2bkrizvbyjgjlimobt5kqxqbc4
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