بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
agent » agents (توسيع البحث)
element » elements (توسيع البحث)
colony » colon (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
agent » agents (توسيع البحث)
element » elements (توسيع البحث)
colony » colon (توسيع البحث)
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Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…The search accomplished by three types of bees over a number of iterations aiming to find the source with the highest nectar value (fitness value of a candidate solution). We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …"
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Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
4
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. …"
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Agent-Based Reactive Geographic Routing Protocol for Internet of Vehicles
منشور في 2023"…In this paper, we first propose a novel lightweight location service that permits to discover all the geographical paths between two vehicles based on smart mobile agents. Second, we proposed ARGENT an Agent-Based Reactive Geographic Routing Protocol that couples the routing process with the novel lightweight location service. …"
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Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
منشور في 2017احصل على النص الكامل
doctoralThesis -
10
ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles
منشور في 2023"…Then, we present an Agent-Based Proactive Geographic Routing Protocol called ARDENT to route data packets with reduced delay and higher delivery ratio. …"
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Distributed optimal coverage control in multi-agent systems: Known and unknown environments
منشور في 2024"…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. …"
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Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
منشور في 2023"…This paper presents a reinforcement learning agent-based model that works by incorporating the MESA environment with the Stone Soup radar systems simulator. …"
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A reduced model for phase-change problems with radiation using simplified PN approximations
منشور في 2025"…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …"
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
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Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
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An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
منشور في 2020احصل على النص الكامل
doctoralThesis -
19
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
منشور في 2021"…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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20
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"