بدائل البحث:
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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181
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182
Transformations for Variants of the Travelling Salesman Problem and Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
183
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184
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185
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186
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article -
187
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188
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189
The multi-parameterized cluster editing problem
منشور في 2017احصل على النص الكامل
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conferenceObject -
190
Incremental Genetic Algorithm
منشور في 2006"…If these problems are not small in size, it becomes costly to use a genetic algorithm to reoptimize them after each modification. …"
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article -
191
Topics in graph algorithms
منشور في 2003احصل على النص الكامل
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masterThesis -
192
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
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193
Minimizing using BBO and DFO methods
منشور في 2022"…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …"
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احصل على النص الكامل
masterThesis -
194
Information reconciliation through agent controlled graph model. (c2018)
منشور في 2018"…Multiple models have been proposed and different techniques and data structures were used. …"
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احصل على النص الكامل
masterThesis -
195
Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect
منشور في 2022"…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …"
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196
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197
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198
On the parameterized parallel complexity and the vertex cover problem
منشور في 2016"…We initiate the study of FPPT with the well-known k-vertex cover problem. In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …"
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conferenceObject -
199
Starvation Problem in CPU Scheduling for Multimedia Systems
منشور في 2002احصل على النص الكامل
article -
200
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"