Optimasi Training Neural Network Menggunakan Hybrid Adaptive Mutation PSO-BP
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2015 Optimization of training neural network using particle swarm optimization (PSO) and genetic algorithm (GA) is a solution backpropagation’s problem. PSO often trapped in premature convergent (convergent at local optimum) and GA takes a long time to ...
Salnan Ratih Asriningtias +2 more
doaj +1 more source
Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Solving two-dimensional packing problem using particle swarm optimization
Computer Assisted Methods in Engineering and Science, 2017 Particle swarm optimization is one of the evolutionary computations which is inspired by social behavior of bird flocking or fish schooling. This research focuses on the application of the particle swarm optimization to two-dimensional packing problem ...
Young-Bin Shin, Eisuke Kita
doaj +1 more source
Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid
Energy Science &Engineering, EarlyView.Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li +5 more
wiley +1 more source
POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS
Energy Science &Engineering, EarlyView.ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy +5 more
wiley +1 more source
Memes Evolution in a Memetic Variant of Particle Swarm Optimization
Mathematics, 2019 In this work, a coevolving memetic particle swarm optimization (CoMPSO) algorithm is presented. CoMPSO introduces the memetic evolution of local search operators in particle swarm optimization (PSO) continuous/discrete hybrid search spaces.
Umberto Bartoccini +3 more
doaj +1 more source
A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Particle Swarm Optimization (PSO) and Crow Search Algorithm (CSA). [PDF]
Comput Intell Neurosci, 2021 Jia YH, Qiu J, Ma ZZ, Li FF.
europepmc +1 more source
Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks
Energy Science &Engineering, EarlyView.This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk +3 more
wiley +1 more source
Mechanical Properties and Microstructure of TIG and ATIG Welded 316L Austenitic Stainless Steel with Multi-Components Flux Optimization Using Mixing Design Method and Particle Swarm Optimization (PSO). [PDF]
Materials (Basel), 2021 Hedhibi AC +5 more
europepmc +1 more source
Weak convergence of particle swarm optimization
, 2019 Particle swarm optimization algorithm is a stochastic meta-heuristic solving global optimization problems appreciated for its efficacity and simplicity.
Bruned, Vianney +2 more
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