Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552582
M. Rabbani, Farhang Pakzad, Seyed Mahmood Kazemi
The p-hub median problem is to determine a number of p hubs and allocate the remaining non-hub nodes to them such that total cost of the network is minimized. Normally, this cost is considered as a linear function of distance between nodes. However, such assumption results in a naive modeling of the hub networks of the real world. For example, cost of establishing a hub can be different across nodes. Moreover, this cost can also be affected by the flow that is routed via each hub node. To cover this gap, in this paper we developed a new modeling considering flow-dependent costs. The combined cost considered here includes fixed costs, Health, Safety and Environment costs (H.S.E), energy costs and personnel costs. Such way of seeing costs, to the best knowledge of authors, is new to the existing literature.
{"title":"A new modelling for p-hub median problem by considering flow-dependent costs","authors":"M. Rabbani, Farhang Pakzad, Seyed Mahmood Kazemi","doi":"10.1109/ICMSAO.2013.6552582","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552582","url":null,"abstract":"The p-hub median problem is to determine a number of p hubs and allocate the remaining non-hub nodes to them such that total cost of the network is minimized. Normally, this cost is considered as a linear function of distance between nodes. However, such assumption results in a naive modeling of the hub networks of the real world. For example, cost of establishing a hub can be different across nodes. Moreover, this cost can also be affected by the flow that is routed via each hub node. To cover this gap, in this paper we developed a new modeling considering flow-dependent costs. The combined cost considered here includes fixed costs, Health, Safety and Environment costs (H.S.E), energy costs and personnel costs. Such way of seeing costs, to the best knowledge of authors, is new to the existing literature.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131707636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552714
F. Horriche, M. Zammouri, S. Benabdallah
The coastal Enfidha plain is located in the centre-east of Tunisia. A marina is planned downstream the plain and is likely to induce a risk on groundwater. A large scale modeling has been developed and used to evaluate the effect of the marina on the totality of the aquifer. Flow and solute transport models were built. In order to have results with higher precision, a local-scale modeling is developed by refining the mesh nearby the marina region. The submodel is calibrated over the period 1972-2005. Simulations are carried out for a 50-years period, to assess the impact details of the planned marina on groundwater quality. Results show an additional salinity increase reaching 10 g/l by the year 2055 around the planned marina. Affected areas are located mostly in the marshes regions.
{"title":"Effect of planned marina on Enfidha groundwater (Tunisia) A local-scale groundwater modeling","authors":"F. Horriche, M. Zammouri, S. Benabdallah","doi":"10.1109/ICMSAO.2013.6552714","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552714","url":null,"abstract":"The coastal Enfidha plain is located in the centre-east of Tunisia. A marina is planned downstream the plain and is likely to induce a risk on groundwater. A large scale modeling has been developed and used to evaluate the effect of the marina on the totality of the aquifer. Flow and solute transport models were built. In order to have results with higher precision, a local-scale modeling is developed by refining the mesh nearby the marina region. The submodel is calibrated over the period 1972-2005. Simulations are carried out for a 50-years period, to assess the impact details of the planned marina on groundwater quality. Results show an additional salinity increase reaching 10 g/l by the year 2055 around the planned marina. Affected areas are located mostly in the marshes regions.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125217732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552721
D. Boumaiza, B. Aour
In this paper an interface relaxation finite element-boundary element coupling method has been developed to analyse the non-linear elasto-plastic problems of solid mechanics. Indeed, this coupling approach preserves the nature of the finite element method (FEM) and the boundary element method (BEM) and it does not require any access to the matrices generated by FEM and BEM. Hence, it becomes easier to use different software packages without any difficulty. The successive computations of the displacements and forces or tractions on the interface of the finite element and boundary element sub-domains were performed through an iterative relaxation procedure. The coupling FEM-BEM approach was implemented in a computer code and was tested through several examples of elasto-plastic media. The obtained results are compared to the experimental data and analytical solutions to establish their accuracy. Conventional methods FEM and BEM were also exploited, and a critical comparison of the results was carried out.
{"title":"On the effectiveness of the coupling FEM-BEM approach for solving the elasto-plastic problems","authors":"D. Boumaiza, B. Aour","doi":"10.1109/ICMSAO.2013.6552721","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552721","url":null,"abstract":"In this paper an interface relaxation finite element-boundary element coupling method has been developed to analyse the non-linear elasto-plastic problems of solid mechanics. Indeed, this coupling approach preserves the nature of the finite element method (FEM) and the boundary element method (BEM) and it does not require any access to the matrices generated by FEM and BEM. Hence, it becomes easier to use different software packages without any difficulty. The successive computations of the displacements and forces or tractions on the interface of the finite element and boundary element sub-domains were performed through an iterative relaxation procedure. The coupling FEM-BEM approach was implemented in a computer code and was tested through several examples of elasto-plastic media. The obtained results are compared to the experimental data and analytical solutions to establish their accuracy. Conventional methods FEM and BEM were also exploited, and a critical comparison of the results was carried out.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132290417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552569
Saoussen Aouay, Salma Jamoussi, Yassine Ben Ayed
Bayesian Networks (BNs) are good tools for representing knowledge and reasoning under conditions of uncertainty. In general, learning Bayesian Network structure from a data-set is considered a NP-hard problem, due to the search space complexity. A novel structure-learning method, based on PSO (Particle Swarm Optimization) and the K2 algorithm, is presented in this paper. To learn the structure of a bayesian network, PSO here is used for searching in the space of orderings. Then the fitness of each ordering is calculated by running the K2 algorithm and returning the score of the network consistent with it. The experimental results demonstrate that our approach produces better performance compared to others BN structure learning algorithms.
{"title":"Particle swarm optimization based method for Bayesian Network structure learning","authors":"Saoussen Aouay, Salma Jamoussi, Yassine Ben Ayed","doi":"10.1109/ICMSAO.2013.6552569","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552569","url":null,"abstract":"Bayesian Networks (BNs) are good tools for representing knowledge and reasoning under conditions of uncertainty. In general, learning Bayesian Network structure from a data-set is considered a NP-hard problem, due to the search space complexity. A novel structure-learning method, based on PSO (Particle Swarm Optimization) and the K2 algorithm, is presented in this paper. To learn the structure of a bayesian network, PSO here is used for searching in the space of orderings. Then the fitness of each ordering is calculated by running the K2 algorithm and returning the score of the network consistent with it. The experimental results demonstrate that our approach produces better performance compared to others BN structure learning algorithms.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133733155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552637
M. Rebai, H. Snoussi, Iyes Khoukhi, F. Hnaien
In this paper, we consider the total grid coverage problem in wireless sensor networks. Our proposal aims to determine the optimal number of sensors and their positions in a sensing area represented by a grid. The deployed sensors should achieve the total grid point coverage. The problem is proved NP-complete in [15]. We propose two mathematical linear models to solve optimally two problem cases. In the first case, the connectivity between deployed sensors is not required. However, in the second case, the sensors should communicate with each other. Computational experiments are generated on different grid sizes and multiple sensor ranges. The results show that the proposed linear models can produce appropriate solutions for the two problem cases.
{"title":"Linear models for the total coverage problem in wireless sensor networks","authors":"M. Rebai, H. Snoussi, Iyes Khoukhi, F. Hnaien","doi":"10.1109/ICMSAO.2013.6552637","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552637","url":null,"abstract":"In this paper, we consider the total grid coverage problem in wireless sensor networks. Our proposal aims to determine the optimal number of sensors and their positions in a sensing area represented by a grid. The deployed sensors should achieve the total grid point coverage. The problem is proved NP-complete in [15]. We propose two mathematical linear models to solve optimally two problem cases. In the first case, the connectivity between deployed sensors is not required. However, in the second case, the sensors should communicate with each other. Computational experiments are generated on different grid sizes and multiple sensor ranges. The results show that the proposed linear models can produce appropriate solutions for the two problem cases.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124346539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552697
Rohit Sharma, Avanish K. Tiwari, G. Kumar
Today, algae have recently received a lot of attention as a new biomass source for the production of renewable bio fuels. CO2, a green house gas is necessary for the culturing of microalgae. The main aim of this work is to study the interaction among the various factors affecting the growth rate and lipid production of different micro alga species from CO2 for the production of bio fuels. In this work the microalgae were modelled as independent agents. CO2 is assumed as the source of carbon for the growth and reproduction of microalgae. Algal systems can remove CO2 from flue gases. The effect of CO2 concentration, light intensity and reproduction ability was modelled in NetLogo software. Lipid production rate was also modelled. A comparison of how two different species behaved with respect to these variables was done by running the model with assigned selected values for these variables. It was found that under certain conditions the two species could have a synergistic effect on each other's growth and/or lipid production.
{"title":"Novel modeling paradigm for the algal production of biofuel","authors":"Rohit Sharma, Avanish K. Tiwari, G. Kumar","doi":"10.1109/ICMSAO.2013.6552697","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552697","url":null,"abstract":"Today, algae have recently received a lot of attention as a new biomass source for the production of renewable bio fuels. CO2, a green house gas is necessary for the culturing of microalgae. The main aim of this work is to study the interaction among the various factors affecting the growth rate and lipid production of different micro alga species from CO2 for the production of bio fuels. In this work the microalgae were modelled as independent agents. CO2 is assumed as the source of carbon for the growth and reproduction of microalgae. Algal systems can remove CO2 from flue gases. The effect of CO2 concentration, light intensity and reproduction ability was modelled in NetLogo software. Lipid production rate was also modelled. A comparison of how two different species behaved with respect to these variables was done by running the model with assigned selected values for these variables. It was found that under certain conditions the two species could have a synergistic effect on each other's growth and/or lipid production.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114406455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552638
Sihem Ben Jouida, Hajer Ben-Romdhane, S. Krichen
The present paper proposes a generalization of the Optimal Stopping Problem where two decision makers are involved in the interviewing of groups of offers. In the studied variant, the DMs are required to select jointly a single offer from an n-sized sequence, dispatched in g groups. At each time step, a new group is received and a varying number of options are inspected. Since the objective is to select the best offer of the whole sequence, the DMs have an interest in declining the less interesting offers by abandoning the current group and continuing to the next, and selecting the offer they expect to be the best and stopping the selection process. A dynamic programming solution approach based on conflict management rules is proposed to select a compromise offer. We test our approach on several data sets and for different DMs' utilities, and we finally show the relevance of our approach via convenient performance measures.
{"title":"A dynamic approach for the two-decision maker selection problem with group interviewing options","authors":"Sihem Ben Jouida, Hajer Ben-Romdhane, S. Krichen","doi":"10.1109/ICMSAO.2013.6552638","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552638","url":null,"abstract":"The present paper proposes a generalization of the Optimal Stopping Problem where two decision makers are involved in the interviewing of groups of offers. In the studied variant, the DMs are required to select jointly a single offer from an n-sized sequence, dispatched in g groups. At each time step, a new group is received and a varying number of options are inspected. Since the objective is to select the best offer of the whole sequence, the DMs have an interest in declining the less interesting offers by abandoning the current group and continuing to the next, and selecting the offer they expect to be the best and stopping the selection process. A dynamic programming solution approach based on conflict management rules is proposed to select a compromise offer. We test our approach on several data sets and for different DMs' utilities, and we finally show the relevance of our approach via convenient performance measures.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114769178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552561
Salma Mezghani, A. Frikha
We investigate a real Storage Problem (SP) defined by the Tunisian company. It requires finding the minimum number of bins to pack all the available items (mattresses). Each item has a different sizes (width, height, length) and characteristics (ranges, colors, quantity). The problem is interpreted as Three-Dimensional Variable-Sized Bin Packing Problem (3D-VSBPP). Two heuristics are presented based on Best-Fit Decreasing (BFD) and Next-Fit decreasing (NFD) strategy. Those heuristics are analyzed in case; the number of bins is unlimited. The proposed approaches are analyzed on a real data with up to 9344 items and two bins types.
{"title":"Heuristics approaches for the industrial Storage Problem","authors":"Salma Mezghani, A. Frikha","doi":"10.1109/ICMSAO.2013.6552561","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552561","url":null,"abstract":"We investigate a real Storage Problem (SP) defined by the Tunisian company. It requires finding the minimum number of bins to pack all the available items (mattresses). Each item has a different sizes (width, height, length) and characteristics (ranges, colors, quantity). The problem is interpreted as Three-Dimensional Variable-Sized Bin Packing Problem (3D-VSBPP). Two heuristics are presented based on Best-Fit Decreasing (BFD) and Next-Fit decreasing (NFD) strategy. Those heuristics are analyzed in case; the number of bins is unlimited. The proposed approaches are analyzed on a real data with up to 9344 items and two bins types.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124087328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552635
Amanullah Yasin, Philippe Leray
The recent advances in hardware and software has led to development of applications generating a large amount of data in real-time. To keep abreast with latest trends, learning algorithms need to incorporate novel data continuously. One of the efficient ways is revising the existing knowledge so as to save time and memory. In this paper, we proposed an incremental algorithm for Bayesian network structure learning. It could deal with high dimensional domains, where whole dataset is not completely available, but grows continuously. Our algorithm learns local models by limiting search space and performs a constrained greedy hill-climbing search to obtain a global model. We evaluated our method on different datasets having several hundreds of variables, in terms of performance and accuracy. The empirical evaluation shows that our method is significantly better than existing state of the art methods and justifies its effectiveness for incremental use.
{"title":"Incremental Bayesian network structure learning in high dimensional domains","authors":"Amanullah Yasin, Philippe Leray","doi":"10.1109/ICMSAO.2013.6552635","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552635","url":null,"abstract":"The recent advances in hardware and software has led to development of applications generating a large amount of data in real-time. To keep abreast with latest trends, learning algorithms need to incorporate novel data continuously. One of the efficient ways is revising the existing knowledge so as to save time and memory. In this paper, we proposed an incremental algorithm for Bayesian network structure learning. It could deal with high dimensional domains, where whole dataset is not completely available, but grows continuously. Our algorithm learns local models by limiting search space and performs a constrained greedy hill-climbing search to obtain a global model. We evaluated our method on different datasets having several hundreds of variables, in terms of performance and accuracy. The empirical evaluation shows that our method is significantly better than existing state of the art methods and justifies its effectiveness for incremental use.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128609415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552663
F. Bencherif, L. Mouss, M. Meguellati
Quality Function Deployment (QFD) is an effective tool to enhance customer satisfaction, develop the product quality and enhance competitive advantages in the market. In developing new products and projects, we receive the needs from the customer, pass it around a corporate communication circle, and eventually return it to the customer in the form of the new product. First, needs and languages received from customer might be ambiguous or imprecise, causing deviated studied results and disregarding of the voice of customer. Second, to improve quality and solve the uncertainty in product development process, numerous researchers try to apply the fuzzy set theory to product development. Their models usually focus only on customer requirements or on engineering characteristics. The subsequent stages of product design are rarely addressed. The correlation between engineering features and benchmarking analysis often disregarded in most of QFD practice related researches. This commonly affects the project and failed product development-project. Aiming to solve these three issues, the purpose of this paper is to increase the accuracy of QFD, optimize and develop the customer requirements approach to attenuate risks in subsequent phases and in on-line process (manufacturing) to increase industrial performance. This approach based on Fuzzy sets theory and Alpha-cut operations, Pairwise comparison method, and fuzzy ranking and clustering method, and on theory of inventive problems solving (TRIZ).
{"title":"Fuzzy relative importance of customer requirements in improving product development","authors":"F. Bencherif, L. Mouss, M. Meguellati","doi":"10.1109/ICMSAO.2013.6552663","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552663","url":null,"abstract":"Quality Function Deployment (QFD) is an effective tool to enhance customer satisfaction, develop the product quality and enhance competitive advantages in the market. In developing new products and projects, we receive the needs from the customer, pass it around a corporate communication circle, and eventually return it to the customer in the form of the new product. First, needs and languages received from customer might be ambiguous or imprecise, causing deviated studied results and disregarding of the voice of customer. Second, to improve quality and solve the uncertainty in product development process, numerous researchers try to apply the fuzzy set theory to product development. Their models usually focus only on customer requirements or on engineering characteristics. The subsequent stages of product design are rarely addressed. The correlation between engineering features and benchmarking analysis often disregarded in most of QFD practice related researches. This commonly affects the project and failed product development-project. Aiming to solve these three issues, the purpose of this paper is to increase the accuracy of QFD, optimize and develop the customer requirements approach to attenuate risks in subsequent phases and in on-line process (manufacturing) to increase industrial performance. This approach based on Fuzzy sets theory and Alpha-cut operations, Pairwise comparison method, and fuzzy ranking and clustering method, and on theory of inventive problems solving (TRIZ).","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130056695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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