Search Results - (( dynamic bandwidth selection algorithm ) OR ( Dynamic candidate optimization algorithm ))*
Search alternatives:
- candidate optimization »
- bandwidth selection »
- selection algorithm »
-
1
Load balancing and congestion control in ATM using fuzzy logic and spiking neuron network / Tan Jiann Shin
Published 2005“…It has the flexibility to maximize solution space by recording details of all candidate routes for optimal route selection [37]. …”
Get full text
Get full text
Thesis -
2
A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…Such an in-band probing algorithm reduces measurement overhead on the selected overlay path. …”
Get full text
Get full text
Thesis -
3
Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat
Published 2016“…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
Get full text
Get full text
Thesis -
4
Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA
Published 2014“…An improved genetic algorithm called fuzzy adaptive genetic algorithm (FAGA) is proposed in order to solve this optimization model. …”
Get full text
Get full text
Get full text
Article -
5
Design of ramp-time current control with dynamic fuzzy bandwidth for wireless power transmission
Published 2016“…A fuzzy logic control algorithm was designed based on the structure of ramp-time current control in active power filters through simulation of ramp-time bandwidth variation to dynamically adjust the loop width of the ramp-time comparator. …”
Get full text
Get full text
Article -
6
Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat
Published 2017“…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
Get full text
Get full text
Book Section -
7
Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater
Published 2024“…The proposed algorithm is applied to acquire a dynamic model of an electric water heater. …”
Get full text
Get full text
Get full text
Article -
8
-
9
Improvement DACS3 Searching Performance using Local Search
Published 2009“…Three supportive strategies are used such as dynamic candidate list, elitist ants and pheromone trail smoothing whereas improvement strategies used local search. …”
Get full text
Get full text
Conference or Workshop Item -
10
Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…The first proposed algorithm aims to optimize the EE by controlling the on/off status of RRH via a deep Q network (DQN) and subsequently solving a power optimization problem. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
11
Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle / Azadeh Kheirandish
Published 2016“…Recent models provide high accuracies using complex systems and complicated calculations using advanced optimization algorithms. However, designing an accurate dynamic model for prediction and controlling the system in a real time condition is a challenge in this field. …”
Get full text
Get full text
Thesis -
12
Suitability Factor on the Capacitated Vehicle Routing Problem
Published 2010“…A new variant of algorithm called Dynamic Ant Colony System with Three Level Updates (DACS3) has been developed which focuses on adding individual ant behavior. …”
Get full text
Get full text
Conference or Workshop Item -
13
A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance
Published 2022“…The algorithm will select the minimum path from the candidate points to target while avoiding obstacles. …”
Get full text
Get full text
Get full text
Get full text
Article -
14
A Two-Layer Framework for Mitigating the Congestion of Urban Power Grids Based on Flexible Topology with Dynamic Thermal Rating
Published 2025“…In the upper-layer, the particle swarm optimization algorithm is employed to optimize the power supply distribution (PSD) of substation transformers. …”
Article -
15
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The results demonstrated that the proposed method could generate an optimal collision-free path. Moreover, the proposed algorithm result are compared to some common algorithms such as the A* algorithm, Probabilistic Road Map, RRT, Bi-directional RRT, and Laser Simulator algorithm to demonstrate its effectiveness. …”
Get full text
Thesis -
16
Partial Binary Tree Network (Pbtn): A New Dynamic Element Matching (Dem) Approach To Current Steering Digital Analog Converter (Dac)
Published 2014“…In this research, a new DEM algorithm is proposed on Current-Steering DACs with Partial Binary Tree Network (PBTN) algorithm to overcome glitches transitions with low complexity. …”
Get full text
Get full text
Thesis -
17
A framework of rough cultural algorithms in optimizing mobile web caching performance
Published 2007“…Hence, the goal of this study is to propose Rough Set (RS) as a knowledge representation for uncertainty in data of client behavior and mobile event specification with resource dependencies to reduce latency by prefetching selected resources to resolve the problems in handling dynamic web pages. …”
Get full text
Get full text
Article -
18
-
19
Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Hence, the algorithm must overcome the problem of dynamic updates in the internal parameters or counter the concept drift. …”
Get full text
Get full text
Thesis -
20
Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…The selection is based on the user preferences since it uses a self-learning algorithm to determine triggers and handover thresholds dynamically. …”
Get full text
Get full text
Thesis
