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    Real estate market-based optimization algorithm (remark): a market-inspired metaheuristic optimization algorithm based on the law of supply and demand

    , Article Journal of Ambient Intelligence and Humanized Computing ; 2022 ; 18685137 (ISSN) Nobahari, H ; Eqra, N ; Bighashdel, A ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2022
    Abstract
    In this work, a metaheuristic optimization algorithm is developed based on the idea of interaction between the demanders and the suppliers in the real estate market. After reviewing the basic theory behind the idea, the working principles of the algorithm are developed and explained in details. The proposed framework yields the exploration and exploitation ability of the algorithm and also leads the algorithm to converge to the global maxima. In order to test the performance of the algorithm, 23 well-known benchmark functions of different characteristics are selected from the literature and the results are compared with seven metaheuristic algorithms. The algorithm is also evaluated on two... 

    A survey on multi-floor facility layout problems

    , Article Computers and Industrial Engineering ; Volume 107 , 2017 , Pages 158-170 ; 03608352 (ISSN) Ahmadi, A ; Pishvaee, M. S ; Akbari Jokar, M. R ; Sharif University of Technology
    Abstract
    Facility layout problem is a well-known optimization problem which generally deals with the arrangement of the facilities required in an organization. This problem has received much attention during the past decades. However, the researchers have mainly focused on the case where a single floor is available. While, in the competitive world, it is clear that using multi-floor structure layouts are much more efficient and in some cases necessary due to the nature of the functions and activities performed in the firms. Hence, this issue has recently attracted much attention and is becoming increasingly popular. Nevertheless, the lack of a review study on this subject for directing the new... 

    Impact of parameter control on the performance of APSO and PSO algorithms for the CSTHTS problem: An improvement in algorithmic structure and results

    , Article PLoS ONE ; Volume 16, Issue 12 , December , 2021 ; 19326203 (ISSN) Iqbal, M. A ; Fakhar, M. S ; Kashif, A. R ; Naeem, R ; Rasool, A ; Sharif University of Technology
    Public Library of Science  2021
    Abstract
    Cascaded Short Term Hydro-Thermal Scheduling problem (CSTHTS) is a single objective, non-linear multi-modal or convex (depending upon the cost function of thermal generation) type of Short Term Hydro-Thermal Scheduling (STHTS), having complex hydel constraints. It has been solved by many metaheuristic optimization algorithms, as found in the literature. Recently, the authors have published the best-achieved results of the CSTHTS problem having quadratic fuel cost function of thermal generation using an improved variant of the Accelerated PSO (APSO) algorithm, as compared to the other previously implemented algorithms. This article discusses and presents further improvement in the results...