Results 31 to 40 of about 45,948 (211)
IET Power Electronics, EarlyView., 2023 This article presents a Fifteen‐level inverter topology that has a lesser number of switches (12) and can accommodate isolated DC sources. The total harmonic elimination (THD) of the proposed topology using genetic algorithm is within the IEEE 519 standards. Further, the fifteen‐level inverter is implemented in Hardware and firing pulses were generated
Yogesh Joshi +4 more
wiley +1 more source
IET Renewable Power Generation, EarlyView., 2023 The main purpose of the presented paper is to offer an optimum arrangement for a combined diesel generator/FC/PV system to off‐grid supplying of the electricity in a community in Shache, China. Abstract One of the challenges of the production sector of the electricity industry at present is how to meet the needs of electricity consumption in the ...
Hongbin Wang +3 more
wiley +1 more source
Applied Sciences, 2022 Four-bar linkages are one of the most widely used mechanisms in industries. This paper presents a comparative study on the accuracy and efficiency of the optimum synthesis of path-generating four-bar linkages using five metaheuristic optimization ...
Yaw-Hong Kang, Jau-Wen Lin, Wei-Chen You
doaj +1 more source
Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
core +1 more source
Next Generation Metaheuristic: Jaguar Algorithm
IEEE Access, 2018 Metaheuristic algorithms are implemented to solve optimization problems and have recently received significant research attention. Metaheuristic algorithms rely primarily on two properties, exploration, and exploitation.
Yao-Hsin Chou +3 more
doaj +1 more source
Why Tuning the Control Parameters of Metaheuristic Algorithms Is So Important for Fair Comparison?
Mendel, 2020 Although metaheuristic optimization has become a common practice, new bio-inspired algorithms often suffer from a priori ill reputation. One of the reasons is a common bad practice in metaheuristic proposals.
Anezka Kazikova +2 more
doaj +1 more source
Algorithms, 2021 The integration of different energy resources from traditional power systems presents new challenges for real-time implementation and operation. In the last decade, a way has been sought to optimize the operation of small microgrids (SMGs) that have a ...
Andrés Angulo +5 more
doaj +1 more source
Slime Mould Algorithm-Based Tuning of Cost-Effective Fuzzy Controllers for Servo Systems
International Journal of Computational Intelligence Systems, 2021 This paper suggests five new contributions with respect to the state-of-the-art. First, the optimal tuning of cost-effective fuzzy controllers represented by Takagi–Sugeno–Kang proportional-integral fuzzy controllers (TSK PI-FCs) is carried out using a ...
Radu-Emil Precup +4 more
doaj +1 more source
Optimizing EMG Classification through Metaheuristic Algorithms
Technologies, 2023 This work proposes a metaheuristic-based approach to hyperparameter selection in a multilayer perceptron to classify EMG signals. The main goal of the study is to improve the performance of the model by optimizing four important hyperparameters: the ...
Marcos Aviles +2 more
doaj +1 more source
Free Lunch or No Free Lunch: That is not Just a Question?
, 2012 The increasing popularity of metaheuristic algorithms has attracted a great deal of attention in algorithm analysis and performance evaluations. No-free-lunch theorems are of both theoretical and practical importance, while many important studies on ...
Yang, Xin-She
core +1 more source