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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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Parallel scatter search algorithms for exam timetabling. (c2009)
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masterThesis -
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Scatter search algorithm for the cross-dock door assignment problem
Published 2014“…A lot of research has been conducted regarding this topic still, up to our knowledge, none used Scatter Search (SS). In this paper, we implemented this evolutionary metaheuristic algorithm and tested it, then compared the results with those of another evolutionary algorithm, Genetic Algorithm (GA). …”
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Automating UML Models Refactoring using Search-Based Algorithms
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masterThesis -
7
Using genetic algorithms to optimize software quality estimation models
Published 2004“…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …”
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masterThesis -
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A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
Published 2005“…In this paper, we present a parallel tabu search (TS) algorithm for efficient optimization of a constrained multiobjective VLSI standard cell placement problem. …”
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Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem
Published 1999“…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem
Published 2020“…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …”
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A parallel tabu search algorithm for VLSI standard-cell placement
Published 2000“…VLSI standard-cell placement is an NP-hard problem to which various heuristics have been applied. In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …”
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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023“…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …”
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Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm
Published 2024“…The BDGOA addresses deficiencies in both exploration and exploitation phases, exhibiting exceptional convergence speed and efficiency. The algorithm's simplicity, achieved through the implementation of an elimination phase and controlled search space, enhances its performance without intricate calculations. …”
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Quality estimation models optimization using genetic algorithms: Case of maintainability
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Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem
Published 2020“…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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A new tabu search algorithm for the long-term hydro scheduling problem
Published 2002“…Moreover an approximated tabu list for the continuous variables has been designed. The proposed implementation contributes to the enhancement of speed and convergence of the original tabu search algorithm (TSA). …”
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Valuation of commodity option prices under a regime-switching model with stochastic convenience yield: Model calibration using flower pollination optimization algorithm
Published 2025“…Using the WTI crude oil spot prices, the parameters involved in the proposed commodity regime-switching model are estimated by expectation–maximization algorithm. …”
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Natural optimization algorithms for the cross-dock door assignment problem
Published 2016“…A lot of research has been conducted regarding this topic; still, up to our knowledge, none used scatter search (SS). This paper modifies a classical mathematical model that represents the CDAP and implements an evolutionary metaheuristic SS algorithm and tests it and then compares the results with those of another evolutionary algorithm, i.e., genetic algorithm (GA). …”
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