Search Results - (( total solution _ algorithm ) OR ( swarm optimization method algorithm ))*

Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation by Khan, Abdullah

“…The HFPSO technique hybridizes the Firefly Optimization (FFO) algorithm and the Particle Swarm Optimization (PSO) method to improve the exploitation and exploration strategies and enhance the convergence rate. …”
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Optimal power flow using hybrid firefly and particle swarm optimization algorithm by Khan, Abdullah, Hizam, Hashim, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutfi

“…The obtained results of the proposed algorithm are compared to simulated results of the original Particle Swarm Optimization (PSO) method and the present state-of-the-art optimization techniques. …”
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Exploration of Modulation Index in Multi-level Inverter using Particle Swarm Optimization Algorithm by Ali, S.S.A., Kannan, R., Kumar, M.S.

“…This research paper describes the Particle Swarm Optimization algorithm real with Selective Harmonic Elimination-Pulse Width Modulation (SHEPWM) method for harmonic minimization of Cascaded H-Bridge Multi-Level Inverter. …”
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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... by Wong Ling Ai

“…Besides, an optimization algorithm with high efficiency is important to ensure the attainment of optimal solutions, where the optimization algorithms like genetic algorithm and particle swarm optimization are known to have high possibility of being trapped in local optimal points. …”

Chaotic ant swarm optimization for economic dispatch considering transmission losses / Amelia Abd Razak by Abd Razak, Amelia

“…Results demonstrate that the method can obtain feasible and effective solution.…”
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Dynamic Economic Dispatch For Power System by Hussein, Saif Tahseen

“…Through an appropriate utilization of the structural features of the model, a solution algorithm based on Particle Swarm Optimization is developed. …”
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Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm by Muhamad Rozikin, Kamaluddin, M. F. F., Ab Rashid

“…This paper used a well-known metaheuristic optimization method, Particle Swarm Optimization (PSO) for solving AVRP models. …”
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Chaotic ant swarm optimization to economic dispatch / Mohd Syafiq Md Salleh by Md Salleh, Mohd Syafiq

“…Chaotic Ant Swarm optimization (CASO) algorithm used in this study was implemented by using MATLAB 7.5.0 (R2007b). …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

“…In this HPSO algorithm, totally seven particles positions are initialized. …”
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Comparison between inertia and constriction variants of particle swarm optimization for economic dispatch problem / Shahrul Azreen Sodali by Sodali, Shahrul Azreen

“…In this study, an optimization technique called Particle Swarm Optimization (PSO) had been applied in solving ED problem. …”
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Hydro thermal coordination using particle swarm optimization / Amirul Asraf Abd Latif by Abd Latif, Amirul Asraf

“…This thesis presents a solution for solving Hydrothermal Coordination (HTC) problems using Particle Swarm Optimization (PSO). …”
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Emission constrained economic dispatch by using stochastic optimisers by Razali N.M.M., Teh Y.Y.

“…The paper presents the solutions for ECED problem by using two stochastic optimisers; the Genetic Algorithm (GA) and Particle Swarm Optimizer (PSO). …”

A novel approach for unit commitment problem via an effective hybrid particle swarm optimization by Ting, T.O., Rao, M.V.C., Loo, C.K.

“…HPSO proposed in this paper is a blend of binary particle swarm optimization (BPSO) and real coded particle swarm optimization (RCPSO). …”
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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A comparative study of multi-objective optimal power flow based on particle swarm, evolutionary programming, and genetic algorithm by Kahourzade, S., Mahmoudi, A., Mokhlis, Hazlie

“…This paper compares the performance of three population-based algorithms including particle swarm optimization (PSO), evolutionary programming (EP), and genetic algorithm (GA) to solve the multi-objective optimal power flow (OPF) problem. …”
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Optimal placement and sizing of battery energy storage system considering the duck curve phenomenon by Wong L.A., Ramachandaramurthy V.K., Walker S.L., Ekanayake J.B.

Minimizing the total cost of inventory by using artificial bee colony algorithm / Nurul Syakira Mohd Zin by Mohd Zin, Nurul Syakira

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Improved gravitational search algorithm for optimal placement and sizing of distributed generation for power quality enhancement by Daud, Sa'adah

“…IGSA has the ability to search for the best solutions and it executes faster. The IGSA performances has then been compared with other heuristic algorithm such as particle swarm optimization (PSO) and GSA. …”
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Hybrid flow shop scheduling problem with energy utilization using non-dominated sorting genetic algorithm-III (NSGA-III) optimization by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

“…The model was compared with the most sought algorithm and latest multi-objective algorithms, Strength Pareto Evolutionary Algorithm 2 (SPEA -II), Multi-Objective Algorithm Particle Swarm Optimization (MOPSO), Pareto Envelope-based Selection Algorithm II (PESA-II) and Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D). …”
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Wireless Coverage for Mobile Users in Dynamic Environments Using UAV by Sawalmeh A.H., Othman N.S., Shakhatreh H., Khreishah A.

“…Antennas; Genetic algorithms; Heuristic methods; Mobile telecommunication systems; Particle swarm optimization (PSO); Point groups; Trajectories; Brute force search; Dynamic environments; Genetics algorithms; Group mobility model; Heuristic approach; Random waypoints; Search and rescue operations; Total transmit power; Unmanned aerial vehicles (UAV)…”