Pub Date : 2014-10-16DOI: 10.1109/NaBIC.2014.6921874
R. Azad, David Medernach, C. Ryan
The ability to generalize beyond the training set is paramount for any machine learning algorithm and Genetic Programming (GP) is no exception. This paper investigates a recently proposed technique to improve generalisation in GP, termed Interleaved Sampling where GP alternates between using the entire data set and only a single data point in alternate generations. This paper proposes two alternatives to using a single data point: the use of random search instead of a single data point, and simply minimising the tree size. Both the approaches are more efficient than the original Interleaved Sampling because they simply do not evaluate the fitness in half the number of generations. The results show that in terms of generalisation, random search and size minimisation are as effective as the original Interleaved Sampling; however, they are computationally more efficient in terms of data processing. Size minimisation is particularly interesting because it completely prevents bloat while still being competitive in terms of training results as well as generalisation. The tree sizes with size minimisation are substantially smaller reducing the computational expense substantially.
{"title":"Efficient approaches to interleaved sampling of training data for symbolic regression","authors":"R. Azad, David Medernach, C. Ryan","doi":"10.1109/NaBIC.2014.6921874","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921874","url":null,"abstract":"The ability to generalize beyond the training set is paramount for any machine learning algorithm and Genetic Programming (GP) is no exception. This paper investigates a recently proposed technique to improve generalisation in GP, termed Interleaved Sampling where GP alternates between using the entire data set and only a single data point in alternate generations. This paper proposes two alternatives to using a single data point: the use of random search instead of a single data point, and simply minimising the tree size. Both the approaches are more efficient than the original Interleaved Sampling because they simply do not evaluate the fitness in half the number of generations. The results show that in terms of generalisation, random search and size minimisation are as effective as the original Interleaved Sampling; however, they are computationally more efficient in terms of data processing. Size minimisation is particularly interesting because it completely prevents bloat while still being competitive in terms of training results as well as generalisation. The tree sizes with size minimisation are substantially smaller reducing the computational expense substantially.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131397410","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921862
J. Calado, A. Sousa
A fuzzy linguistic controller has been developed and implemented with the aim to cope with interactions between control loops due to coupling effects. To access the performance of the proposed approach several experiments have also been conducted using the classical PID controllers in the control loops. A mixing process has been used as test bed of all controllers experimented and the corresponding dynamic model has been derived. The successful results achieved with the fuzzy linguistic controllers suggests that they can be an alternative to classical controllers when in the presence of process plants where automatic control as to cope with coupling effects between control loops.
{"title":"Fuzzy linguistic controllers applied to decouple control loop effects","authors":"J. Calado, A. Sousa","doi":"10.1109/NaBIC.2014.6921862","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921862","url":null,"abstract":"A fuzzy linguistic controller has been developed and implemented with the aim to cope with interactions between control loops due to coupling effects. To access the performance of the proposed approach several experiments have also been conducted using the classical PID controllers in the control loops. A mixing process has been used as test bed of all controllers experimented and the corresponding dynamic model has been derived. The successful results achieved with the fuzzy linguistic controllers suggests that they can be an alternative to classical controllers when in the presence of process plants where automatic control as to cope with coupling effects between control loops.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131304046","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921889
N. Masmoudi, Hanene Azzag, M. Lebbah, C. Bertelle
We present in this paper a new biomimetic method nammed CL-AntInc for data incremental clustering. This algorithm uses the behavior of real ants. We deal with the issue of data volume through a clustering heuristic. Dynamic graphs are constructed according to a simulation of colonial odors and pheromone mechanisms. We used numerical databases extracted from the Machine Learning Repository. The experimental results show the effectiveness of the suggested algorithm.
{"title":"Incremental clustering of data stream using real ants behavior","authors":"N. Masmoudi, Hanene Azzag, M. Lebbah, C. Bertelle","doi":"10.1109/NaBIC.2014.6921889","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921889","url":null,"abstract":"We present in this paper a new biomimetic method nammed CL-AntInc for data incremental clustering. This algorithm uses the behavior of real ants. We deal with the issue of data volume through a clustering heuristic. Dynamic graphs are constructed according to a simulation of colonial odors and pheromone mechanisms. We used numerical databases extracted from the Machine Learning Repository. The experimental results show the effectiveness of the suggested algorithm.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124046722","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921893
A. Almeida, Franklin M. P. Pamplona, Helon D. M. Braz, J. Silva, L. S. Barros
This paper deals with integrated voltage and harmonics distortion control (volt/THD) for radial distribution feeders in planning issues, by means of the application of automatic voltage regulators (AVRs) banks and harmonic passive filters. A multiobjective genetic algorithm (SPEA2) improved using fuzzy logic is presented to solve the VOLT/THD problem, since it is a combinatorial multiobjective optimization problem. The expert knowledge is taken into account via fuzzy logic in order to reduce the search space using voltage regulators in standard units. According to the multiobjective optimization fundamentals, an optimal solution ensemble is obtained, which concomitantly represents the solutions to both objectives, in such way that the operational restrictions of systems are satisfied. Two objectives have been established: voltage level deviation and total harmonic distortion. An algorithm is applied to harmonic analysis in radial systems, with application of models compatible with practical data. The algorithm is evaluated for a known 34-bus feeder in the literature of the subject.
{"title":"Multiobjective optimization for Volt/Thd oroblem in distribution system","authors":"A. Almeida, Franklin M. P. Pamplona, Helon D. M. Braz, J. Silva, L. S. Barros","doi":"10.1109/NaBIC.2014.6921893","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921893","url":null,"abstract":"This paper deals with integrated voltage and harmonics distortion control (volt/THD) for radial distribution feeders in planning issues, by means of the application of automatic voltage regulators (AVRs) banks and harmonic passive filters. A multiobjective genetic algorithm (SPEA2) improved using fuzzy logic is presented to solve the VOLT/THD problem, since it is a combinatorial multiobjective optimization problem. The expert knowledge is taken into account via fuzzy logic in order to reduce the search space using voltage regulators in standard units. According to the multiobjective optimization fundamentals, an optimal solution ensemble is obtained, which concomitantly represents the solutions to both objectives, in such way that the operational restrictions of systems are satisfied. Two objectives have been established: voltage level deviation and total harmonic distortion. An algorithm is applied to harmonic analysis in radial systems, with application of models compatible with practical data. The algorithm is evaluated for a known 34-bus feeder in the literature of the subject.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133342767","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921855
Pedro Machado, J. Wade, T. McGinnity
For many decades neuroscience researchers have been interested in harnessing the computational power of the mammalian nervous system. However, the vast complexity of such a nervous system has made it very difficult to fully understand basic functions such as movement, touch and learning. More recently the nervous system of the C. elegans nematode has been widely studied and there now exists a vast wealth of biological knowledge about its nervous structure, function and connectivity. The Si elegans project aims to develop a Hardware Neural Network (HNN) to accurately replicate the C. elegans nervous system behavior to enable neuroscientists to better understand these basic functions. Replication of the C. elegans biological system requires powerful computing technologies, based on parallel processing, for real-time computation. The Si elegans project will use FPGAs due to their advanced programmable features that allow reconfigurability, high performance parallel processing and relatively low price per programmable logic element. Furthermore, the project will deliver an open-access framework that will be available via a Web Portal to neuroscientists, biologists, clinicians and engineers. In this paper an overview of the complete hardware system required to fully realize Si elegans is presented along with an early small scale implementation of the hardware system.
{"title":"Si elegans: FPGA hardware emulation of C. elegans nematode nervous system","authors":"Pedro Machado, J. Wade, T. McGinnity","doi":"10.1109/NaBIC.2014.6921855","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921855","url":null,"abstract":"For many decades neuroscience researchers have been interested in harnessing the computational power of the mammalian nervous system. However, the vast complexity of such a nervous system has made it very difficult to fully understand basic functions such as movement, touch and learning. More recently the nervous system of the C. elegans nematode has been widely studied and there now exists a vast wealth of biological knowledge about its nervous structure, function and connectivity. The Si elegans project aims to develop a Hardware Neural Network (HNN) to accurately replicate the C. elegans nervous system behavior to enable neuroscientists to better understand these basic functions. Replication of the C. elegans biological system requires powerful computing technologies, based on parallel processing, for real-time computation. The Si elegans project will use FPGAs due to their advanced programmable features that allow reconfigurability, high performance parallel processing and relatively low price per programmable logic element. Furthermore, the project will deliver an open-access framework that will be available via a Web Portal to neuroscientists, biologists, clinicians and engineers. In this paper an overview of the complete hardware system required to fully realize Si elegans is presented along with an early small scale implementation of the hardware system.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134623442","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921897
Kotaro Usui, Masaya Nakata, K. Takadama
Accuracy-based Learning Classifier System (XCS) can learn correct classifiers in a given environment, but they may not be reusable even in small environmental changes. To tackle this problem, this paper propose a new XCS, XCS with the linkage-classifier (XCSL), which can create reusable knowledge as a linkage of useful classifiers for a changed environment. The linkage-classifier represents the executed order of the classifiers, and is a set of classifiers which each must be reused as a sequence of actions to reach a goal of task. The intensive experiments on a benchmark sequential decision task have revealed that, XCSL performs as well as the conventional LCSs (Learning Classifier Systems) in the environments without any changes, while XCSL performs with fewer iterations than the conventional ones in the environments with some change.
{"title":"Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System","authors":"Kotaro Usui, Masaya Nakata, K. Takadama","doi":"10.1109/NaBIC.2014.6921897","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921897","url":null,"abstract":"Accuracy-based Learning Classifier System (XCS) can learn correct classifiers in a given environment, but they may not be reusable even in small environmental changes. To tackle this problem, this paper propose a new XCS, XCS with the linkage-classifier (XCSL), which can create reusable knowledge as a linkage of useful classifiers for a changed environment. The linkage-classifier represents the executed order of the classifiers, and is a set of classifiers which each must be reused as a sequence of actions to reach a goal of task. The intensive experiments on a benchmark sequential decision task have revealed that, XCSL performs as well as the conventional LCSs (Learning Classifier Systems) in the environments without any changes, while XCSL performs with fewer iterations than the conventional ones in the environments with some change.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122710881","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921867
I. Valizadeh, M. Shojafar, A. Abraham
Mobile solutions give businesses a unique opportunity to re-think the way they interact with customers, employees and partners. We propose a new method called rapid way application on the mobile devices to handle and control the connection of the mobiles with GPS while mobile devices or sensor has mobility. This paper explores the relationship between the five depends and independent variable on Rapid Way mobile application such as Perceived usefulness, perceived ease of use, time saving, cost saving and intention to use Rapid Way application in Wireless sensor network for managing the sensors. A sample of 100 respondents is selected using a purposive sampling method whereby all segments of society to be included in the survey. A structured, self-administered as hard copy questionnaire is used to find data from these respondents. The findings indicate that the perceived usefulness (β = 0.307, p<;0.002) perceived ease of use (β = 0.176, p<;0.080) and time saving (β =0.019, p<;0.000) is positively related to intention to use Rapid Way application while cost saving is not significantly related to intention to use Rapid Way application (β =0.408, p<;0.849). Besides attention to result of this paper, it shows that there is a significant level of intention to use Rapid Way application, also, time saving (β =0.019, p<;0.000) as a new variable has the highest significant.
{"title":"Rapid Way mobile application in Wireless sensor network: A practical research in transportation system","authors":"I. Valizadeh, M. Shojafar, A. Abraham","doi":"10.1109/NaBIC.2014.6921867","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921867","url":null,"abstract":"Mobile solutions give businesses a unique opportunity to re-think the way they interact with customers, employees and partners. We propose a new method called rapid way application on the mobile devices to handle and control the connection of the mobiles with GPS while mobile devices or sensor has mobility. This paper explores the relationship between the five depends and independent variable on Rapid Way mobile application such as Perceived usefulness, perceived ease of use, time saving, cost saving and intention to use Rapid Way application in Wireless sensor network for managing the sensors. A sample of 100 respondents is selected using a purposive sampling method whereby all segments of society to be included in the survey. A structured, self-administered as hard copy questionnaire is used to find data from these respondents. The findings indicate that the perceived usefulness (β = 0.307, p<;0.002) perceived ease of use (β = 0.176, p<;0.080) and time saving (β =0.019, p<;0.000) is positively related to intention to use Rapid Way application while cost saving is not significantly related to intention to use Rapid Way application (β =0.408, p<;0.849). Besides attention to result of this paper, it shows that there is a significant level of intention to use Rapid Way application, also, time saving (β =0.019, p<;0.000) as a new variable has the highest significant.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129351817","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921890
A. Santos, M. Varela, A. Madureira, Rita Almeida Ribeiro
Scheduling problems occurring in parallel machines manufacturing environments are quite usual and many different methods have been applied for solving it. These methods vary from the application of more or less simple heuristics and rules up to more complex methods, including distinct kind of metaheuristics. In this paper we discuss a fuzzy optimization method using simulated annealing (Fuzzy-SA) for solving an unrelated parallel machines manufacturing scheduling problem. To demonstrate the potential of our method we use an illustrative example of a parallel machines scheduling (PMS) problem and then we analyse it and perform statistical tests with 20 instances.
{"title":"Parallel machines scheduling with fuzzy simulated annealing","authors":"A. Santos, M. Varela, A. Madureira, Rita Almeida Ribeiro","doi":"10.1109/NaBIC.2014.6921890","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921890","url":null,"abstract":"Scheduling problems occurring in parallel machines manufacturing environments are quite usual and many different methods have been applied for solving it. These methods vary from the application of more or less simple heuristics and rules up to more complex methods, including distinct kind of metaheuristics. In this paper we discuss a fuzzy optimization method using simulated annealing (Fuzzy-SA) for solving an unrelated parallel machines manufacturing scheduling problem. To demonstrate the potential of our method we use an illustrative example of a parallel machines scheduling (PMS) problem and then we analyse it and perform statistical tests with 20 instances.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127989963","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 : 2014-10-16DOI: 10.1109/NaBIC.2014.6921851
Zhifeng Liang, Bo Yang, Lin Wang, Xiaoqian Zhang, Nana He, A. Abraham
A three-dimensional CA model for the simulation of Portland cement microstructure development has been developed in this paper. The Gene Expression Programming (GEP) algorithm is employed as the learning algorithm to evolve the transition rule reversely from the microstructure development characteristic data due to hydration reactions. The characteristic data is extracted from 8-bit gray images that based on the processing of real cement acquired by Micro Computed Tomography (micro-CT) technology. Starting with initial micro-CT image, cement microstructure evolution images of 28 days is constructed through CA rule discovered by GEP. The experimental results show that this model with the CA rule designed by GEP has higher agreement between the model predictions and experimental measurements for degree of hydration than other models. Furthermore, this model still has good generalization ability when changing the water-cement ratio and chemical composition.
{"title":"Extracting three-dimensional Cellular Automaton for cement microstructure development using Gene Expression Programming","authors":"Zhifeng Liang, Bo Yang, Lin Wang, Xiaoqian Zhang, Nana He, A. Abraham","doi":"10.1109/NaBIC.2014.6921851","DOIUrl":"https://doi.org/10.1109/NaBIC.2014.6921851","url":null,"abstract":"A three-dimensional CA model for the simulation of Portland cement microstructure development has been developed in this paper. The Gene Expression Programming (GEP) algorithm is employed as the learning algorithm to evolve the transition rule reversely from the microstructure development characteristic data due to hydration reactions. The characteristic data is extracted from 8-bit gray images that based on the processing of real cement acquired by Micro Computed Tomography (micro-CT) technology. Starting with initial micro-CT image, cement microstructure evolution images of 28 days is constructed through CA rule discovered by GEP. The experimental results show that this model with the CA rule designed by GEP has higher agreement between the model predictions and experimental measurements for degree of hydration than other models. Furthermore, this model still has good generalization ability when changing the water-cement ratio and chemical composition.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131805783","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 : 2014-10-16DOI: 10.1109/NABIC.2014.6921866
C. A. O. Zezzatti, J. S. González-Campos, M. Fuentes, Teresa Padilla, Oscar Castillo, P. Melin
There are several factors that can influence the selection of electives in order to complete the set of credits of a course in Bachelor level. Even though this problem has been studied repeatedly by many researchers on literature, the results have not established optimal values using bio-inspired algorithms to analyze the cost-benefit for every student in a minority group, and comparing their choices of electives according to the group. For our research, we analyzed four scholar courses with approximately 87 educational studies, this sample is composed by: Sociology, Interior Design, Sports Training & Aeronautics and we propose to use a novel nature-inspired algorithm called “Flower Pollination Algorithm,” which has proven effectiveness for the cohesion of behavior associated with several problems. When we use restrictions, strategies are generated to keep tempo in the selection of these materials. In our case, a resource such as time gain regarding the subjects studied is represented as the optimal way to reduce the duration of the professional studies to set appropriate conditions for the selection of specialized subjects.
{"title":"Implementing flower multi-objective algorithm for selection of university academic credits","authors":"C. A. O. Zezzatti, J. S. González-Campos, M. Fuentes, Teresa Padilla, Oscar Castillo, P. Melin","doi":"10.1109/NABIC.2014.6921866","DOIUrl":"https://doi.org/10.1109/NABIC.2014.6921866","url":null,"abstract":"There are several factors that can influence the selection of electives in order to complete the set of credits of a course in Bachelor level. Even though this problem has been studied repeatedly by many researchers on literature, the results have not established optimal values using bio-inspired algorithms to analyze the cost-benefit for every student in a minority group, and comparing their choices of electives according to the group. For our research, we analyzed four scholar courses with approximately 87 educational studies, this sample is composed by: Sociology, Interior Design, Sports Training & Aeronautics and we propose to use a novel nature-inspired algorithm called “Flower Pollination Algorithm,” which has proven effectiveness for the cohesion of behavior associated with several problems. When we use restrictions, strategies are generated to keep tempo in the selection of these materials. In our case, a resource such as time gain regarding the subjects studied is represented as the optimal way to reduce the duration of the professional studies to set appropriate conditions for the selection of specialized subjects.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124002857","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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