Mostrando ítems 1-14 de 14

    • A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification 

      Khrissi, Lahbib; El Akkad, Nabil; Satori, Hassan; Satori, Khalid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 01/2023)
      Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...
    • A fuzzy c-means bi-sonar-based Metaheuristic Optimization Algorithm 

      Khan, Koffka; Sahai, Ashok (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2012)
      Fuzzy clustering is an important problem which is the subject of active research in several real world applications. Fuzzy c-means (FCM) algorithm is one of the most popular fuzzy clustering techniques because it is ...
    • 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 ...
    • A Solution to the N-Queens Problem Using Biogeography-Based Optimization 

      Habiboghli, Ali; Jalali, Tayebeh (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      Biogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms. The BBO algorithm ...
    • A Survey on Demand-Responsive Transportation for Rural and Interurban Mobility 

      Martí, Pasqual; Jordán, Jaume; González Arrieta, María Angélica; Julian, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Rural areas have been marginalized when it comes to flexible, quality transportation research. This review article brings together papers that discuss, analyze, model, or experiment with demand-responsive transportation ...
    • A Useful Metaheuristic for Dynamic Channel Assignment in Mobile Cellular Systems 

      Kumar Singh, Deepak; Srinivas, K.; Bhagwan Das, D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)
      The prime objective of a Channel Assignment Problem (CAP) is to assign appropriate number of required channels to each cell in a way to achieve both efficient frequency spectrum utilization and minimization of interference ...
    • An Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization 

      Arora, Sankalap; Singh, Satvir (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017)
      In this paper, a new hybrid optimization algorithm which combines the standard Butterfly Optimization Algorithm (BOA) with Artificial Bee Colony (ABC) algorithm is proposed. The proposed algorithm used the advantages ...
    • Application of Automobile Modelling Optimization Design Based on Virtual Reality Technology 

      Wu, Wei; Sivaparthipan, C.B; Sanz Prieto, Iván (World Scientific, 2022)
      Automobile architecture is a crucial phase in the process of design. The model assessment process in the hybrid vehicle modeling assessment becomes more in-depth, and designers exchange ideas. The critical aspect of ...
    • 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 ...
    • Business and Social Behaviour Intelligence Analysis Using PSO 

      Bhaskar, Vinay S; Kumar Singh, Abhishek; Dhruw, Jyoti; Parashar, Anubha; Sharma, Mradula (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2014)
      The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the ...
    • 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 ...
    • 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 Parameter Estimation of Solar PV Panel Based on Hybrid Particle Swarm and Grey Wolf Optimization Algorithms 

      Rezk, Hegazy; Arfaoui, Jouda; Gomaa, Mohamed R. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The performance of a solar photovoltaic (PV) panel is examined through determining its internal parameters based on single and double diode models. The environmental conditions such as temperature and the level of radiation ...
    • PInCom project: SaaS Big Data Platform for and Communication Channels 

      Lombardo, Juan Manuel; López, Miguel Ángel; Mirón, Felipe; Velasco, Susana; Sevilla, Juan Pablo; Mellado, Juan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The problem of optimization will be addressed in this article, based on the premise that the successful implementation of Big Data solutions requires as a determining factor not only effective -it is assumed- but the ...