List of Articles Invasive Weed Optimization

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  1 - A Hybrid Intelligent Model to Increase the Accuracy of COCOMO
  Vida Doranipour
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  2 - A New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier
  Saman Khalandi Farhad Soleimanian Gharehchopogh
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  3 - Novel Fuzzy-IWO Method for Reconfiguration Simultaneous Optimal DG Units Allocation
  Hajar Bagheri Mahmood Reza Shakarami
  This paper presents a new hybrid method for optimal multi-objective reconfiguration simultaneous determining the optimal size and location of Distributed Generation (DG) in a distribution feeder. The purposes of this research are reducing the losses, improving the volta More

  This paper presents a new hybrid method for optimal multi-objective reconfiguration simultaneous determining the optimal size and location of Distributed Generation (DG) in a distribution feeder. The purposes of this research are reducing the losses, improving the voltage profile and equalizing the feeder load balancing in a distribution system. Invasive Weed Optimization (IWO) is used to simultaneously reconfigure and identify the optimal capacity and location for installation of DG units in the distribution network. In order to facilitate the algorithm for multi-objective search ability, the optimization problem is formulated for minimizing fuzzy performance indices. The multi-objective optimization problem is transformed into a fuzzy inference system (FIS), where each objective function is quantified into a set of fuzzy objectives selected by fuzzy membership functions. The proposed method is validated using the IEEE 33 bus test system at nominal load. The obtained results prove this combined technique is more accurate and has an efficient convergence property compared to other intelligent search algorithms. Also, the obtained results lead to the conclusion that multi-objective reconfiguration along with placement of DGs can be more beneficial than separate single-objective optimization. Manuscript profile
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  4 - Designing a model of product arrangement and multi-warehouse location-routing problem
  saeed sadeghi mohammad fallah esmaeil najafi
  10.30495/jiei.2023.1969398.1256
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  5 - Bi-objective optimization of multi-server intermodal hub-location-allocation problem in congested systems: modeling and solution
  Mahdi Rashidi Kahag Seyed Taghi Akhavan Niaki Mehdi Seifbarghy Sina Zabihi
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  6 - Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application
  Hamid Malmir Fardad Farokhi Reza Sabbaghi-Nadooshan
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  7 - A new design for PID controller by considering the operating points changes in Hydro-Turbine Connected to the equivalent network by using Invasive Weed Optimization (IWO) Algorithm
  Navid Razmjooy Mohsen Khalilpour
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