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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network by Bujal, Noor Ropidah

“…Moreover, the empirical results obtained showed that incorporating the AHP into Firefly Algorithm improved the accuracy of weight calculations in the multi-objective formulation of the optimisation process. …”
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Maximum rate resource allocation algorithms with multiuser diversity and QoS support for downlink OFDMA based WiMAX system by Alsahag, Ali Mohammed, Mohd. Ali, Borhanuddin, Noordin, Nor Kamariah, Mohamad, Hafizal

“…In this paper, two resource allocation algorithms are proposed, namely, weighted-rate adaptive slot allocation (WASA), and feedback delay-based slot allocation (FDSA) for OFDMA downlink system. …”
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RWP-NSGA II: reinforcement weighted probabilistic NSGA II for workload allocation in fog and internet of things environment by Ariffin, Ahmad Alauddin, Belhaouari, Samir Brahim, Raissouli, Hafsa

“…This paper proposes an improved version of NSGA II, namely, reinforcement weighted probabilistic NSGA II, which uses weighted probabilistic mutation. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network by Noor Ropidah, Bujal, Aida Fazliana, Abdul Kadir, Marizan, Sulaiman, Sulastri, Abdul Manap, Mohamad Fani, Sulaima

“…Hence, this study proposes a multi-objective firefly analytical hierarchy algorithm (FAHA) for determining the optimal allocation and sizing of DG. …”
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Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System by Nwogbaga, Nweso Emmanuel

“…Secondly, a hybrid Genetic Algorithm and Enhanced Inertia Weight Particle Swarm Optimization (GAEIWPSO) algorithm for optimal resource allocation to minimize the delay is proposed. …”
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An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf by Yusuf, Yusmardiah

“…Scheduling mechanism is the process of dynamically allocating radio resources (time and frequency) to User Equipment (UE) that transmits different flows at the same time. …”
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New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

“…Optimization of process allocation causes to decrease the network traffic and fairer allocation, and therefore,optimization of fault-tolerance. …”
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Flash flood evacuation with discrete particle swarm optimization / Marina Yusoff by Yusoff, Marina

“…Both of these sequences were tested with inertia weight and constriction factor (CF). Performance of each vehicle allocation was analyzed in four variations namely myVAP-A using inertia weight with random vehicle capacity, myVAP-A using inertia weight with sort ascending order of vehicle capacity, myVAP-A using CF with random vehicle capacity, and myVAP-A using CF with sort ascending of vehicle capacity. …”
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SINR improvement using Firefly Algorithm (FA) for Linear Constrained Minimum Variance (LCMV) beamforming technique by Doroody C., Tiong S.K., Darzi S.

Delay-based and QoS-aware packet scheduling for RT and NRT multimedia services in LTE downlink systems by Madi, Nadim K. M., Mohd Hanapi, Zurina, Othman, Mohamed, K. Subramaniam, Shamala

“…Therein, the absence of sophisticated resources allocation process at the base station jeopardizes QoS in terms of latency data transfer. …”
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Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

“…On the second level, TOPSIS algorithm allocates resources among an application’s user based on their criteria and the application’s preferences. …”
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Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.] by Mohamed, Azlinah, Yusoff, Marina, Ariffin, Junaidah, Shamsudin, Siti Maryam

“…We analyse the performance of each vehicle allocation in four experiment categories: myDPSOVAP-A using inertia weight with random vehicle capacity, myDPSOVAP-A using inertia weight with sort ascending order of vehicle capacity; myDPSOVAP-A using CF with random vehicle capacity, and myDPSOVAP-A using CF with sort ascending of vehicle capacity. …”
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A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem by Lee, Lai Soon, Nazif, Habibeh

“…The main focus is on the efficient allocation of one or more resources to activities over time. …”
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Flash flood evacuation with discrete particle swarm optimization / Marina Yusoff by Yusoff, Marina

“…Both of these sequences were tested with inertia weight and constriction factor (CF). Performance of each vehicle allocation was analyzed in four variations namely myVAP-A using inertia weight with random vehicle capacity, myVAP-A using inertia weight with sort ascending order of vehicle capacity, myVAP-A using CF with random vehicle capacity, and myVAP-A using CF with sort ascending of vehicle capacity.…”
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A krill herd behaviour inspired load balancing of tasks in cloud computing by Hasan, Raed Abdulkareem, Mohammed, Muamer N.

“…The speed, task cost, and weight of the tasks were first determined, after which, the Krill herd optimization algorithm was for the load balancing based on the measured parameters. …”
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Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris by Abubakar Auwal , Idris

“…The performance of the developed VRTSA is evaluated and compared with three well-known downlink scheduling algorithms in LTE such as Proportional Fair (PF), Modified Largest Weight Delay First (MLWDF), Exponential Proportional Fair (EXP/PF) as well as recent algorithm called LTTI. …”
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An enhanced supplier selection model based on optimized analytic network process towards sustainable information technology outsourcing by Fusiripong, Prashaya

“…Moreover, these methods rely on human judgment in weight allocation. Therefore, this study proposes an Enhanced Supplier Selection Model (ESS) for sustainable ITO mainly to eliminate human judgment in Analytical Network Process (ANP) method. …”
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Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques by Chong, Xiao Wei

“…The detected prawns are then measured, and their lengths are used to estimate their weights and categorize them into juvenile, subadult, or adult stages. …”
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On the Modelling of the Mobile WiMAX (IEEE 802.16e) Uplink Scheduler by Mohd Ali, Darmawaty, Dimyati, Kaharudin

“…Packet scheduling has drawn a great deal of attention in the field of wireless networks as it plays an important role in distributing shared resources in a network. The process involves allocating the bandwidth among users and determining their transmission order. …”
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Assessment of suitable hospital location using GIS and machine learning by Almansi, Khaled Y. M.

“…Third, an insight into the machine learning models utilized and how their predicted weights affect hospital site suitability mapping was provided. …”
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