Results 31 to 40 of about 40,942 (254)

Nature–inspired metaheuristic algorithms to find near–OGR sequences for WDM channel allocation and their performance comparison

Open Mathematics, 2017
Nowadays, nature–inspired metaheuristic algorithms are most powerful optimizing algorithms for solving the NP–complete problems. This paper proposes three approaches to find near–optimal Golomb ruler sequences based on nature–inspired algorithms in a ...
Bansal Shonak, Gupta Neena, Singh Arun Kumar   +2 more
doaj   +1 more source

An efficient optimization algorithm for electric vehicle routing problem

IET Power Electronics, EarlyView., 2023
1. To minimize the cost of travel and travel time for electric vehicles (EVs) while considering constraints on battery capacity, charging time, and delivery/pickup requirements. 2. To find the most efficient route to charging stations to address the issue of range anxiety and the scarcity of charging infrastructure. 3.
Batchu Veena Vani, Dharavath Kishan, Md Waseem Ahmad, Ch Rama Prakasha Reddy   +3 more
wiley   +1 more source

Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System [PDF]

, 2019
This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II).
Frutos, Mariano, González, Begoña, Méndez Babey, Máximo, Rossit, Daniel Alejandro   +3 more
core   +1 more source

FPGA Implementation of Metaheuristic Optimization Algorithm

e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2023
Metaheuristic algorithms are gaining popularity amongst researchers due to their ability to solve nonlinear optimization problems as well as the ability to be adapted to solve a variety of problems. There is a surge of novel metaheuristics proposed recently, however it is uncertain whether they are suitable for FPGA implementation.
Nurul Hazlina Noordin, Phuah Soon Eu, Zuwairie Ibrahim   +2 more
openaire   +2 more sources

Harmonic elimination of a fifteen‐level inverter with reduced number of switches using genetic algorithm

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, Shimi Sudha Letha, Farhad Ilahi Bakhsh, Gopal Lal Jaat, Suyash Tilak   +4 more
wiley   +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, AW McNabb, C Coello, E Kitzler, G Luque, JA Cordero, JJ Durillo, K Deb, KB Tannahill, R Lammel, SA Thomas, Z Zhou   +11 more
core   +1 more source

Optimizing EMG Classification through Metaheuristic Algorithms

Technologies, 2023
This work proposes a metaheuristic-based approach for hyperparameter selection in a multilayer perceptron to classify electromyographic signals. The main goal of the study is to improve the performance of the model by optimizing four important hyperparameters: the number of neurons, the learning rate, the epochs, and the training batches.
Marcos Aviles, Juvenal Rodríguez-Reséndiz, Danjela Ibrahimi   +2 more
openaire   +2 more sources

Optimal size selection of combined diesel generator/fuel cell/photovoltaic system components using a multi‐objective strategy and sea lion optimization algorithm

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, Nurulafiqah Nadzirah Binti Mansor, Hazlie Bin Mokhlis, Arsam Mashhadi   +3 more
wiley   +1 more source

Enhanced Metaheuristic Optimization: Wind-Driven Flower Pollination Algorithm

IEEE Access, 2019
The flower pollination algorithm is a new metaheuristic optimization technique that simulates the pollination behavior of flowers in nature. The global and local search processes of the algorithm are performed by simulating the self-pollination and cross-
Mengyi Lei, Yongquan Zhou, Qifang Luo
doaj   +1 more source

Metaheuristic Algorithms for Optimization: A Brief Review

Engineering Proceedings
In the area of optimization, metaheuristic algorithms have attracted a lot of interest. For many centuries, human beings have utilized metaheuristic algorithms as a problem-solving approach.
Vinita Tomar, Mamta Bansal, Pooja Singh
doaj   +1 more source