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

      Salem, Mohammed; Mora, Antonio M (1); 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 (1); 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 ...
    • 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 ...