Search Results - (( location allocation issues algorithm ) OR ( whale optimization means algorithms ))
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Investigating dam reservoir operation optimization using metaheuristic algorithms
Published 2023Article -
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Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
Published 2023“…For the test stage, the mean absolute error of the MLP�WA model decreased to 30% and from 31 to 38% as compared to the radial basis function�whale algorithm (RBF�WA) and GP models, respectively. …”
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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector
Published 2025“…The primary objectives were to assess the performance of three evolutionary algorithms ? Heap-Based Optimizer (HBO), Multiverse Optimizer (MVO), and Whale Optimization Algorithm (WOA) ? …”
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Optimal allocation of battery energy storage system using WOA-AIS considering net load issue
Published 2023Conference Paper -
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Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization
Published 2022“…The results were also compared with relatively recent algorithm such as Whale Optimization Algorithm and Harris Haws Optimization. …”
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Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Upon comparing with other optimisation algorithms, WOA and WOA-AIS displayed satisfactory performance in obtaining optimal BESS locations and sizing in distribution network. …”
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Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
Published 2015“…The first experiment was conducted by applying two approaches i) graph colouring algorithm, ii) DLS scheme. The second experiment was to determine the femtocell location by using DSL scheme as well. …”
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Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture
Published 2021“…However, the management of resource allocations across multiple data centers is an important issue that still affects 5G core networks. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network
Published 2022“…However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. …”
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Multi-criteria optimization framework for cloudlet computing in WMANs: integrating VL-WIDE and AHP for enhanced decision-making
Published 2026“…Our method employs a variable-length multi-objective whale optimization integrated with differential evolution (VL-WIDE) to tackle the optimization problem, dynamically adjusting to the WMAN environment while optimizing delay, energy consumption (both user device and cloudlet), and cloudlet deployment cost. …”
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Influence of shortest route approximation on relegating urban area’s transportation network priorities
Published 2023“…This greedy pathfinding algorithm is regarded as proactive for application in several known neighboring routing characteristics, including customer clustering aspects in vehicle routing and location-allocation instances for optimal resource allocation.…”
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Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
Published 2014“…In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. …”
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Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement
Published 2014“…In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. …”
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Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement
Published 2014“…In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. …”
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how Pareto points in multi-objective facility location model can be found. …”
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Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim
Published 2019“…Thus, a reliable optimisation technique is crucial to address this issue. This thesis presents a novel Embedded Meta Evolutionary–Firefly Algorithm-Artificial Neural Network for Multi-DG planning in distribution system. …”
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Development of location-inventory model based on all-unit quantity discount policy
Published 2011“…Distribution network design is one of the main issues in supply chain management. Two key decisions that must be determined to design a distribution network are facility allocation decisions and inventory control decisions. …”
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Voltage Regulation Planning Based on Optimal Grid-Connected Renewable Energy Allocation Using Nature-Inspired Algorithms to Reduce Switching Cycles of On-Load Tap Changing Transfor...
Published 2023“…Accordingly, the major contribution of this paper is to address the switching cycle issues of the on-load tap changing transformer. Initially, a framework is proposed to optimize the location and size of renewable power generation using a multi-objective cuckoo search optimization algorithm. …”
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