بدائل البحث:
solution optimization » migration optimization (توسيع البحث), policy optimization (توسيع البحث), motor optimization (توسيع البحث)
well optimization » whale optimization (توسيع البحث), level optimization (توسيع البحث), gazelle optimization (توسيع البحث)
solution optimization » migration optimization (توسيع البحث), policy optimization (توسيع البحث), motor optimization (توسيع البحث)
well optimization » whale optimization (توسيع البحث), level optimization (توسيع البحث), gazelle optimization (توسيع البحث)
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1
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
منشور في 2022"…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
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2
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
منشور في 2021"…The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. …"
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3
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …"
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4
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
منشور في 2018احصل على النص الكامل
doctoralThesis -
5
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
منشور في 2011احصل على النص الكامل
doctoralThesis -
6
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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7
Transformations for Variants of the Travelling Salesman Problem and Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
8
Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
منشور في 2023"…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …"
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9
A new tabu search algorithm for the long-term hydro scheduling problem
منشور في 2002"…The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. …"
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article -
10
Correlation Clustering via s-Club Cluster Edge Deletion
منشور في 2023"…In this work, we implement three approaches to tackle the 2-club clustering via edge deletion: a heuristic approach based on the influence of the edge to resolve maximum conflicts, a parameterized algorithm in which by deleting a maximum of k edges, the graph can be transformed into a 2-club cluster based on a branching algorithm, and the approach in Integer Linear Programming to find the optimized solution in an integer formulation. …"
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masterThesis -
11
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12
3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019)
منشور في 2019"…To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. …"
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masterThesis