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    A novel fuzzy genetic annealing classification approach

    , Article EMS 2009 - UKSim 3rd European Modelling Symposium on Computer Modelling and Simulation, 25 November 2009 through 27 November 2009, Athens ; 2009 , Pages 87-91 ; 9780769538860 (ISBN) Baran Pouyan, M ; Mohamadi, H ; Saniee Abadeh, M ; Foroughifar, A ; Sharif University of Technology
    Abstract
    In this paper, a novel classification approach is presented. This approach uses fuzzy if-then rules for classification task and employs a hybrid optimization method to improve the accuracy and comprehensibility of obtained outcome. The mentioned optimization method has been formulated by simulated annealing and genetic algorithm. In fact, the genetic operators have been used as perturb functions at the core of simulated annealing heuristic. Results of proposed approach have been compared with several well-known methods such as Naïve Bayes, Support Vector Machine, Decision Tree, k-NN, and GBML, and show that our method performs the classification task as well as other famous algorithms. ©... 

    Stochastic ensemble pruning method via simulated quenching walking

    , Article International Journal of Machine Learning and Cybernetics ; Volume 10, Issue 7 , 2019 , Pages 1875-1892 ; 18688071 (ISSN) Taghavi, Z. S ; Akhavan Niaki, S. T ; Niknamfar, A. H ; Sharif University of Technology
    Springer Verlag  2019
    Abstract
    Inspired by an upward stochastic walking idea, a new ensemble pruning method called simulated quenching walking (SQWALKING) is developed in this paper. The rationale behind this method is to give values to stochastic movements as well as to accept unvalued solutions during the investigation of search spaces. SQWALKING incorporates simulated quenching and forward selection methods to choose the models through the ensemble using probabilistic steps. Two versions of SQWALKING are introduced based on two different evaluation measures; SQWALKINGA that is based on an accuracy measure and SQWALKINGH that is based on a human-like foresight measure. The main objective is to construct a proper... 

    Lot streaming in a two-stage assembly hybrid flow shop scheduling problem with a work shift constraint

    , Article Journal of Industrial and Production Engineering ; Volume 33, Issue 7 , 2016 , Pages 459-471 ; 21681015 (ISSN) Nejati, M ; Mahdavi, I ; Hassanzadeh, R ; Mahdavi Amiri, N ; Sharif University of Technology
    Taylor and Francis Ltd 
    Abstract
    We address the two-stage assembly scheduling problem where there are m machines at the first stage and n assembly machines at the second stage under lot sizing environment. Lot streaming (lot sizing) means breaking a lot into some sublots, where each sublot is transferred to the next machine for continuing operations. This problem can be considered as a production system model consisting of production stage and assembly stage. If different production operations are done in parallel machines independently, then the manufactured parts transferred to the next stage are assembled with purchased parts at n machines according to the operation process chart to produce the final products. Here,...