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1341
A Risk Curtailment Strategy for Solar PV-Battery Integrated Competitive Power System
Published 2022-04-01“…The projected method has been experienced on the IEEE 14-bus test system and IEEE 30-bus test system to examine the usefulness of the meta-heuristic algorithm in system risk analysis under the deregulated environment. …”
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1342
Optimal Power Flow For Non-Smooth Cost Function Using Particle Swarm Optimization On 150 Kv System
Published 2023-01-01“…Optimal power flow by considering the non-smooth cost curve using the meta-heuristic algorithm method, namely particle swarm optimization (PSO) in the 150 kV Sulselrabar electrical system. …”
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1343
Efficient Modified Meta-Heuristic Technique for Unconstrained Optimization Problems
Published 2022-09-01“…In this paper, a new Modified Meta-Heuristic algorithm is proposed. This method contains some modifications to improve the performance of the simulated-annealing algorithm (SA). …”
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1344
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices
Published 2024-02-01“…It also introduces a controller-driven heuristic algorithm that evaluates the proximity of caching points to consumers, considering factors such as ‘distance cost,’ ‘delivery time,’ and the specific ‘status of the requested content’. …”
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1345
DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments
Published 2024-03-01“…Next, we provide a heuristic algorithm known as DLJSF (Data-Locality Aware Job Scheduling in Fog-Cloud) that is based on the suggested formulation. …”
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1346
Intra-oral scan segmentation using deep learning
Published 2023-09-01“…A deep-learning approach based on PointCNN and 3D U-net in combination with a rule-based heuristic algorithm and a combinatorial search algorithm was trained and validated on 1400 OS. …”
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1347
HAP-Enabled Communications in Rural Areas: When Diverse Services Meet Inadequate Communication Infrastructures
Published 2023-01-01“…The simulation results show that the proposed dynamic DRL-based method outperforms the heuristic algorithm and can surpass the performance ceiling achieved by the proposed static allocation scheme. …”
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1348
SASRT: Semantic-Aware Super-Resolution Transmission for Adaptive Video Streaming over Wireless Multimedia Sensor Networks
Published 2019-07-01“…Three adaptive strategies and a heuristic algorithm are proposed to solve the optimization problem. …”
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1349
Improved Spread Spectrum Aloha Protocol and Beam-Hopping Approach for Return Channel in Satellite Internet of Things
Published 2023-02-01“…To match user/traffic distribution, delay requirement and channel condition with beam allocation better, a low-complexity heuristic beam scheduling algorithm and a more effective Maximum-Weighted Clique (MWC) algorithm have been proposed. The heuristic algorithm considers the user/traffic distribution, inter-beam interference, and fairness primarily. …”
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1350
Efficient Node Deployment of Large-Scale Heterogeneous Wireless Sensor Networks
Published 2021-11-01“…The paper utilizes Swarm Intelligence as a heuristic algorithm for the large-scale deployment problem. …”
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1351
Augmenting the space domain awareness ground architecture via decision analysis and multi-objective optimization
Published 2021-06-01“…Design/methodology/approach – Hypothetical telescope architectures are modeled and simulated on two separate days, then evaluated against performance measures and constraints using multi-objective optimization in a heuristic algorithm. Decision analysis and Pareto optimality identifies a set of high-performing architectures while preserving decision-maker design flexibility. …”
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1352
Vulnerability of Transportation Networks to Traffic-Signal Tampering
Published 2017“…While we prove that finding an attack that maximally impacts congestion is NP-hard, we also exhibit a polynomial-time heuristic algorithm for computing approximately optimal attacks. …”
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1353
Efficient Design of Compact Unstructured RNA Libraries Covering All k-mers
Published 2018“…As we prove that the problem is NP-hard, we give two solutions: the first is a greedy algorithm with a logarithmic approximation ratio; the second, a heuristic greedy approach based on random walks in de Bruijn graphs. The heuristic algorithm works well in practice and produces a library of unstructured RNA probes that is only ∼1.1-times greater in size compared to the theoretical lower bound. …”
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1354
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1355
New results on modular inversion hidden number problem and inversive congruential generator
Published 2020“…Given a sufficiently large modulus p, n+1 samples of MIHNP, we present a heuristic algorithm to recover the hidden number$$\alpha $$ with a probability close to 1 when𝛿/log2𝑝>1𝑑+1+𝑜(1𝑑). …”
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Conference Paper -
1356
Chip temperature optimization for dark silicon many-core systems
Published 2019“…For the worst case where even the minimum chip peak temperature exceeds the safe temperature, a heuristic algorithm, called temperature-constrained task selection (TCTS), is proposed to optimize the system performance within chip safe temperature. …”
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Journal Article -
1357
An adaptive opposition-based learning selection: the case for Jaya algorithm
Published 2021“…Although proven useful, much existing adoption of OBL into meta-heuristic algorithms has been based on a single technique. …”
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1358
Multi-criteria optimal design of hybrid clean energy system with battery storage considering off- and on-grid application
Published 2021“…The angle is determined optimally using a meta-heuristic algorithm, i.e., the spotted hyena optimisation (SHO), considering minimisation of the objective function and satisfying the constraints. …”
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1359
Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers
Published 2021“…Further, the suggested hyper heuristic algorithm constructs significantly comprehensible models as compared to WEKA's J48, CART and other similar decision tree construction strategies. …”
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1360
A heuristic approach of modelling developing countries' construction sector uncertainties to improve the building environment
Published 2024-02-01“…By adapting and applying an iterative (TABU Search), a heuristic algorithm for minimising costs and lead times, it is possible to combine virtually all the possible choices for the different variables in order to anticipate the impact and guide the decision-maker towards the scenario with the least uncertainty and a good reliability of occurrence. …”
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Article