Search Results - optimal ((((bus algorithm) OR (acs algorithm))) OR (((tree algorithm) OR (bat algorithm))))*
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Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy
Published 2023“…Decision making; Natural language processing systems; Bat algorithms; Heading policy; Multi-reservoir operation; Multi-reservoir systems; Optimization algorithms; Power- generations; Salp swarms; Seagull optimization algorithm; Swarm algorithms; Two-point; Optimization…”
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Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator
Published 2011“…The fuzzy models are trained applying locally linear model tree algorithm followed by a meta-heuristic nature inspired algorithm called bat algorithm. …”
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Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
Published 2011“…The IEEE 14-bus, 57-bus and 118-bus test systems are utilized during this research to verify the recommended method. …”
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Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks
Published 2015“…Thus this paper proposes a Differential Evolution based optimized mobile multicast routing algorithm for the shared tree architecture. …”
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Proceeding Paper -
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Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy
Published 2021“…The Seagull Optimization Algorithm was subsequently benchmarked against the Salp Swarm Algorithm (SSA), Bat Algorithm (BA) and the Shark Optimization Algorithm (SOA). …”
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Frequency stabilization in interconnected power system using bat and harmony search algorithm with coordinated controllers
Published 2021“…To enhance the outcome of the proposed 2DOF–TIDN controller, its gain parameters are optimized with the use of a newly designed hybrid bat algorithm-harmony search algorithm (hybrid BA–HSA) technique. …”
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Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman
Published 2011“…This thesis presents Bees Algorithm (BA) technique to seek the optimum size of Flexible AC Transmission System (FACTS) device which is the Thyristor Controlled Series Compensator (TCSC) in a power transmission network. …”
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Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique: article / Nurshuhaida Abdul Rahman
Published 2011“…This paper presents Bees Algorithm (BA) technique to seek the optimum size of Flexible AC Transmission System (FACTS) device which is the Thyristor Controlled Series Compensator (TCSC) in a power transmission network. …”
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Optimal placement and sizing of FACTS devices for optimal power flow using metaheuristic optimizers
Published 2022“…Thus, seven metaheuristic algorithms: Barnacles Mating Optimizer (BMO), Marine Predators Algorithm (MPA), Moth–Flame Optimization (MFO), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Teaching–Learning-Based Optimization (TLBO) and Heap-Based Optimizer (HBO) are used to solve two objective functions: power loss and cost minimizations. …”
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IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks
Published 2024“…Additionally, simulation results confirm that the proposed algorithm IWDSA exhibits outstanding performance compared to other algorithms utilizing optimization techniques, including genetic algorithms, bat algorithms, ant colony optimization, and swarm optimization. …”
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An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system
Published 2014“…The results of applying improved leader PSO to IEEE 14 bus power system shows its significant outperformance over six other optimisation algorithms including conventional PSO, mutated PSO, enhanced PSO, harmony search,genetic algorithm and gravitational search algorithm. …”
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Solving the optimal power flow problems using the superiority of feasible solutions-moth flame optimizer
Published 2024“…The main goal of this study is to use a cuttingedge version of recent metaheuristic algorithm, namely Moth-Flame Optimizer (MFO) algorithm for solving the mentioned OPF problems. …”
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Congestion management based optimization technique using bee colony
Published 2023“…The study involved the development of bee colony algorithm in addressing congestion management, considering cost optimization as the objective function. …”
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Advancing voltage control in DC microgrids: a comparative study with IGWO-based H∞ control
Published 2024“…DC microgrids (DC-MGs) are gaining popularity over AC microgrids (AC-MG) due to their inherent advantages, such as a greater adaptability in algorithmic control, and the absence of reactive power-related issues. …”
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Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad...
Published 2019“…The capability of CISOS in solving the optimal allocation problem has been demonstrated in 2 power transmission system models, namely IEEE 26-Bus Reliability Test System (RTS) and IEEE 118-Bus RTS. …”
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Optimal Techno-Economic Design of Standalone Hybrid Renewable Energy System Using Genetic Algorithm
Published 2023Conference Paper -
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Distribution network reconfiguration for transmission loss minimization and voltage profile Improvement using salp swarm optimization algorithm
Published 2022“…This research study employed Salp Swarm Algorithm (SSA) to obtain the best vector control variables that give the minimal total active power loss on a standard IEEE 30-bus system network. …”
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Conference or Workshop Item -
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Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…Fundamentally, the framework input is the stereo image which represents left and right images respectively. The proposed algorithm in this article has four steps in total, which starts with the matching cost computation using census transform, cost aggregation utilizes segment-tree, optimization using winner-takes-all (WTA) strategy, and post-processing stage uses weighted median filter. …”
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