List of Articles Memetic Algorithm

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  1 - A survey of meta-heuristic methods for optimization problems
  Mehdi  Fazli
  In this article, we will examine the problems related to routing and positioning with real variables and examine the related questions. These engineering, inventory and optimization decisions are made in a multi-layered supply chain system, including suppliers, warehous More

  In this article, we will examine the problems related to routing and positioning with real variables and examine the related questions. These engineering, inventory and optimization decisions are made in a multi-layered supply chain system, including suppliers, warehouses and different buyers. We are looking for new ways to manage location and routing efficiently and effectively. In order to increase efficiency and achieve optimal results, exploratory and meta-heuristic methods have been used. In meta-heuristic techniques, a combination technique is usually used to increase performance. Therefore, this review article examines meta-heuristic methods and analysis of location problems using different quantities. It also examines the advantages and disadvantages of each method to optimally solve these problems in order to introduce practical and efficient methods Manuscript profile
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  2 - The comparison of neural network, ANFIS and AR model in expected return prediction and comparison of memetic and symbiotic organism search in constrained portfolio optimization
  Sayyed Mahdi Rezaei Mahmoud Baghjari Pooria Mazaherifar
  In this paper, Symbiotic organism search and memetic algorithms are used to solve constrained mean-semi variance portfolio problem. Then AR model, Neural network and ANFIS are compared to predict expected return of stocks. 23 active stocks from June 22, 2014 to Jan 21, More

  In this paper, Symbiotic organism search and memetic algorithms are used to solve constrained mean-semi variance portfolio problem. Then AR model, Neural network and ANFIS are compared to predict expected return of stocks. 23 active stocks from June 22, 2014 to Jan 21, 2016 are used as our sample. The results indicate that, memetic algorithm despite its longer time consuming has better performance than SOS algorithm. And ANFIS has more accurate prediction than others in predicting expected rate of return. Finally, we compare expected and real efficient frontier, the results indicate that, in lower risk, ANFIS has better prediction accuracy. So in that area, we can allocate our asset with higher certainty. Manuscript profile
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  3 - The Effects of Technical and Organizational Activities on Redundancy Allocation Problem with Choice of Selecting Redundancy Strategies Using the memetic algorithm
  M. Sharifi MR. Shahriari A. Zaretalab
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  4 - Distributed Routing Protocol in Wireless Sensor Networks through Mimetic Algorithm and Time-Sharing Approach to Select Cluster Head
  Sahar Nassirpour Shayesteh Tabatabaei
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  5 - MMDT: Multi-Objective Memetic Rule Learning from Decision Tree
  Bahareh Shaabani Hedieh Sajedi
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  6 - A Memetic Algorithm for Hybrid Flowshops with Flexible Machine Availability Constraints
  Fariborz Jolai mostafa zandieh Bahman Naderi
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  7 - A Review of Meta-heuristics Algorithms for Solving Fuzzy Location Routing Problems
  Mehdi Fazli Somayyeh Faraji Amoogin
  10.30495/fomj.2022.1968957.1077
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  8 - A new memetic algorithm for mitigating tandem automated guided vehicle system partitioning problem
  Parinaz Pourrahimian
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  9 - A redundancy allocation problem with the choice of redundancy strategies by a memetic algorithm
  J Safari R Tavakkoli-Moghaddam
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  10 - SOLVING A STEP FIXED CHARGE TRANSPORTATION PROBLEM BY A SPANNING TREE-BASED MEMETIC ALGORITHM
  Saber Molla-Alizadeh-Zavardehi Masoud Sanei Reza Soltani Ali Mahmoodirad
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