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81
Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems
Published 2020“…This paper demonstrates the use of genetic algorithms to design a single output feedback control law for the simultaneous eigenvalue placement of a power system running over a wide range of operating conditions. …”
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82
A comparative study of RSA based digital signature algorithms
Published 2006“…After factorization is found, the RSA problem could be solved by finding the private key using the extended Euclidean algorithm.…”
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83
A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
Published 2020“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
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84
A simulated annealing algorithm for fuzzy unit commitment problem
Published 1999“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
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85
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The performance of the Tabu search algorithm is promising. The Tabu search algorithm solved two power system problems, 4 units and 22 units. …”
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86
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The performance of the Tabu search algorithm is promising. The Tabu search algorithm solved two power system problems, 4 units and 22 units. …”
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87
Genetic and heuristic algorithms for regrouping service sites. (c2000)
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masterThesis -
88
Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Datasets can be classified using various methods. Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
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89
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
90
A New Penalty Function Algorithm For Convex Quadratic Programming
Published 2020“…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
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91
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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92
A fast exact sequential algorithm for the partial digest problem
Published 2016“…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …”
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93
A Survey of cuckoo search algorithm: optimizer and new applications
Published 2024“…The proposed search technique is compared with the existing standard optimization algorithms. The current CS computations are merged with Lévy flight and it was the first time used to solve nonlinear benchmark challenges.…”
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94
Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms
Published 2020“…In this paper, a modified genetic algorithm is used as a procedure to solve the parameter identification problem of the nonlinear Wiener-Hammerstein models. …”
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95
A simulated annealing algorithm for the capacitated vehicle routing problem
Published 2017“…In this paper, we present a meta-heuristic approach for solving the CVRP based on simulated annealing. The algorithm uses a combination of random and deterministic operators that are based on problem knowledge information. …”
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conferenceObject -
96
A simulated annealing algorithm for the capacitated vehicle routing problem
Published 2011“…In this paper, we present a meta-heuristic approach for solving the CVRP based on simulated annealing. The algorithm uses a combination of random and deterministic operators that are based on problem knowledge information. …”
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conferenceObject -
97
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
Published 2003“…In this paper the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. …”
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98
A genetic-based algorithm for fuzzy unit commitment model
Published 2000“…The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …”
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99
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Among these, K-means is widely used for efficiently solving clustering problems. …”
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masterThesis -
100
Fixed-parameter algorithms for hitting set problems. (c2006)
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masterThesis