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141
Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem
Published 1999“…A new implementation of the genetic algorithm is introduced. The genetic algorithm solution is coded as a mix between binary and decimal representation. …”
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142
A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms
Published 2007“…It is widely recognized that security issues will play a crucial role in the majority of future computer and communication systems. Cryptographic algorithms are the central tools for achieving system security. …”
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143
A new simulated annealing-based tabu search algorithm for unitcommitment
Published 1997“…The algorithm includes a step to find an initial control parameter, at which virtually all trial solutions are accepted. …”
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144
A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
Published 2005“…The primary purpose is to accelerate TS algorithm to reach near optimal placement solutions for large circuits. …”
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145
A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…The algorithm was implemented using VHSIC hardware description language (VHDL) and downloaded on a field programmable gate array (FPGA) device. …”
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146
The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…Recent advances in algorithm design have shown a growing interest in seeking exact solutions to many hard problems. …”
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147
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148
Island Neighboring Heuristics Harmony Search Algorithm for Flow Shop Scheduling with Blocking
Published 2022“…Then the harmony search algorithm iterates to look for and to develop a new solution enhanced by using neighboring heuristics. …”
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…These are simulated annealing, genetic algorithms and neural networks. A number of design choices and the addition of preprocessing and postprocessing steps lead to versions of the algorithms which differ in solution qualities and execution times. …”
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151
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
Published 2022“…An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …”
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152
A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem
Published 2020“…In the proposed algorithm, genetic algorithm solution is coded as a mix between binary and decimal representation. …”
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153
A new tabu search algorithm for the long-term hydro scheduling problem
Published 2002“…A new efficient algorithm to solve the long-term hydro scheduling problem (LTHSP) is presented in this paper. …”
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154
Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem
Published 2020“…A new implementation of the genetic algorithm is introduced. The genetic algorithm solution is coded as a mix between binary and decimal representation. …”
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155
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
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156
An Adaptive Denoising Algorithm for Online Condition Monitoring of High-Voltage Power Equipment
Published 2020“…This article presents a discrete wavelet transform (DWT) based adaptive de-noising algorithm and evaluates its performance. Various decisive steps in applying DWT based de-noising on any signal, including selection of mother wavelet, number of levels in multiresolution decomposition and criteria for reconstruction of the de-noised signals are taken by the proposed algorithm and vary from one signal to another without a human intervention. …”
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157
Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
Published 2002“…In most problems considered where the total-objects-to-site-area ratio did not exceed 60%, the algorithm returned close to optimal solutions in a reasonable time.…”
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158
Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks
Published 2023“…The external archive is implemented during the algorithm evolution, and it saves the best solutions to be used later. …”
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159
NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY
Published 2022“…Falls will have a considerable impact on some populations, necessitating the development of better fall prevention and management solutions. Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …”
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160
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…The ES algorithm begins with a random initial solution and uses an insertion mutation to optimize the solution. …”