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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…This thesis proposes and simulates the three novel optimization algorithms to handle DG allocation, different single-objective, and multi-objective OPF problems. …”
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New algorithm for autonomous dynamic path planning in real-time intelligent robot car
Published 2017“…Different algorithms have been used to address this problem by considering the optimal path with minimum cost; however, these algorithms did not consider the execution time to find such path. …”
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3
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…This thesis presents a new approach to optimize the performance of a dual beam optical scanning system in terms of its scanning combinations and speed, using Genetic Algorithm (GA). …”
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4
Optimization of RFID network planning using MDB-FA method
Published 2017“…Topology network design in RFID Network Planning (RNP) is the most important factor in hard optimization problems of network planning. …”
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Optimal sizing of hybrid tidal, photovoltaic and battery sources of energy
Published 2015“…In the sizing problem, cost is proposed as the objective function of the algorithm, which is calculated by the Net Present Cost method. …”
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Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
Published 2022“…The average simulation time using the proposed HFPSO algorithm for the LED luminaire was faster by up to 7.6% than that for the fluorescent luminaire, compared with 4% and 3.6% faster using the PSO and FA methods, respectively. …”
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A New Approach To The Solution Of Economic Dispatch Using Genetic Algorithm
Published 2016“…The MATLAB simulation is run to demonstrate clearly the effectiveness of the new genetic algorithm approach as a very important method in the solution of economic dispatch problems.…”
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Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems
Published 2021“…Metaheuristic algorithms have been widely used to solve diverse kinds of optimization problems. …”
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9
Optimal economic and emission dispatch of photovoltaic integrated power system using firefly algorithm
Published 2020“…The FA algorithm is used to determine the optimal cost and emission levels of power generation. …”
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10
Low Complexity Error Correction in Low Density Parity Check (LDPC) Code Decoder and Encoder for Decode and Forward Cooperative Wireless Communication
Published 2021“…This algorithm only applies the optimization scaling factor at the bit node processing of the variable node operation. …”
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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14
Simultaneous Allocation of DG and DSTATCOM Using Whale Optimization Algorithm
Published 2023“…This paper proposed a new methodology based on nature-enthused meta-heuristic optimization algorithm named as whale optimization algorithm (WOA), which can significantly envisage problems for simultaneous allocation of distributed generation (DG) and Distribution STATic COMpensator (DSTATCOM) in the radial distribution systems (RDS). …”
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Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption
Published 2024“…Our quantitative tests show that the improved model has the best coverage (95.3%, 84.3% and 65.8%, respectively) compared to two other methods Levy Flight (LF) algorithm and Particle Swarm Optimization (PSO), which use the same initial parameter values. …”
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Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
Published 2022“…The tuning process of five control gains in the FOPID controller is technically challenging to achieve high position accuracy. In this study, this problem is addressed through the offline tuning method by using particle swarm optimization with the spreading factor algorithm to reduce the complexity in tuning the control gains. …”
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Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks
Published 2023“…In addition, it also concluded that metaheuristic optimization algorithm and weighted least square method are more suitable to conquer anisotropic factor. …”
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…GA is widely known as a multi-purpose searching procedure commonly use in optimization and approximation field. The increasing popularity of GA is due to their adaptability and simplicity as a problem solution especially when they are applied into several complex problems. …”
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Meta-heuristic matrix moth�flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability
Published 2023“…This paper presents optimal multi-criteria reconfiguration of radial distribution systems with solar and wind renewable energy sources using the weight factor method while considering reliability. …”
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Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
Published 2022“…The tuning process of five control gains in the FOPID controller is technically challenging to achieve high position accuracy. In this study, this problem is addressed through the offline tuning method by using particle swarm optimization with the spreading factor algorithm to reduce the complexity in tuning the control gains. …”
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