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Listar por tema "genetic algorithms"

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    • A Generalized Wine Quality Prediction Framework by Evolutionary Algorithms 

      Hui-Ye Chiu, Terry; Wu, Chienwen; Chen, Chun-Hao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Wine is an exciting and complex product with distinctive qualities that makes it different from other manufactured products. Therefore, the testing approach to determine the quality of wine is complex and diverse. Several ...

    • A Model for Planning TELCO Work-Field Activities Enabled by Genetic and Ant Colony Algorithms 

      Henriques, João; Caldeira, Filipe (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Telecommunication Company’s (TELCO) are continuously delivering their efforts on the effectiveness of their daily work. Planning the activities for their workers is a crucial sensitive, and time-consuming task usually taken ...

    • An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks 

      Sahoo, Kshira Sagar; Tripathy, Bata Krishna; Naik, Kshirasagar; Ramasubbareddy, Somula; Balusamy, Balamurugan; Khari, Manju; Burgos, Daniel (IEEE ACCESS, 2020)
      Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ...

    • Applying genetic algorithms for the improvement of an autonomous fuzzy driver for simulated car racing 

      Salem, Mohammed; Mora, Antonio M ; Merelo, Juan Julián; García-Sánchez, Pablo (Communications in Computer and Information Science, 2018)
      Games offer a suitable testbed where new methodologies and algorithms can be tested in a near-real life environment. For example, in a car driving game, using transfer learning or other techniques results can be generalized ...

    • Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey 

      Seoane, Pablo; Gestal, Marcos; Dorado, Julián (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)
      Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. ...

    • Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms 

      Verma, Kamal Kant; Singh, Brij Mohan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...

    • Evolving a TORCS Modular Fuzzy Driver Using Genetic Algorithms 

      Salem, Mohammed; Mora, Antonio M ; Merelo, Juan Julián; García-Sánchez, Pablo (Lecture Notes in Computer Science, 2018)
      This work presents an evolutionary approach to optimize the parameters of a Fuzzy-based autonomous driver for the open simulated car racing game (TORCS). Using evolutionary algorithms, we intend to optimize a modular fuzzy ...

    • EvoWild: a demo­simulator about wild life 

      Mey Rodríguez, Macarena; Palacio Gayoso, Eduardo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      During the last years we can see how AI (Artificial Intelligence) is reappearing because of technological improvements. These improvements make possible the management of large groups of information with acceptable reply ...

    • Feature Selection for Image Retrieval based on Genetic Algorithm 

      Welekar, Rashmi; Kushwaha, Preeti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction ...

    • Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network 

      Kasihmuddin, Mohd Shareduwan Bin Mohd; Mansor, Mohd Asyraf Bin; Sathasivam, Saratha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      The restricted Maximum k-Satisfiability MAX- kSAT is an enhanced Boolean satisfiability counterpart that has attracted numerous amount of research. Genetic algorithm has been the prominent optimization heuristic algorithm ...

    • Genetic Operators Applied to Symmetric Cryptography 

      Rodríguez, Jefferson; Corredor, Brayan; Suárez, César (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      In this article, a symmetric-key cryptographic algorithm for text is proposed, which applies Genetic Algorithms philosophy, entropy and modular arithmetic. An experimental methodology is used over a deterministic system, ...

    • GPGPU Implementation of a Genetic Algorithm for Stereo Refinement 

      Arranz, Álvaro; Alvar, Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2015)
      During the last decade, the general-purpose computing on graphics processing units Graphics (GPGPU) has turned out to be a useful tool for speeding up many scientific calculations. Computer vision is known to be one of the ...

    • Multilayer Perceptron: Architecture Optimization and Training 

      Ramchoun, Hassan; Ghanou, Youssef; Ettaouil, Mohamed; Janati Idrissi, Mohammed Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      The multilayer perceptron has a large wide of classification and regression applications in many fields: pattern recognition, voice and classification problems. But the architecture choice has a great impact on the convergence ...

    • Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm 

      Kamel, Salah; Jurado, Francisco; Elkasem, Ahmed; Rashad, Ahmed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The main purpose of this paper is allowing doubly fed induction generator wind farms (DFIG), which are connected to power system, to effectively participate in feeding electrical loads. The oscillation in power system is ...

    • PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization 

      Chebli, S; El Akkary, Ahmed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In this paper, we consider the problem of stabilizing network using a new proportional- integral (PI) based congestion controller in active queue management (AQM) router; with appropriate model approximation in the first ...

    • Research on the Application of Computer Graphic Advertisement Design Based on a Genetic Algorithm and TRIZ Theory 

      Song, Yang (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      In view of the shortcomings of the traditional thinking of computer graphic advertising design, this paper introduces TRIZ innovative thinking to design computer advertising. First of all, combined with specific cases of ...

    • Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation 

      Martínez-Comesaña, Miguel; Martínez-Torres, Javier; Eguía-Oller, Pablo; López-Gómez, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)
      Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical ...