Results 21 to 30 of about 27,200 (208)

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

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

Autonomous Population Regulation Using a Multi-Agent System in a Prey–Predator Model That Integrates Cellular Automata and the African Buffalo Optimization Metaheuristic

Algorithms, 2019
This research focused on the resolution of a dynamic prey–predator spatial model. This model has six life cycles and simulates a theoretical population of prey and predators. Cellular automata represent a set of prey and predators.
Boris Almonacid, Fabián Aspée, Francisco Yimes   +2 more
doaj   +1 more source

Evaluating the Applications of Dendritic Neuron Model with Metaheuristic Optimization Algorithms for Crude-Oil-Production Forecasting

Entropy, 2022
The forecasting and prediction of crude oil are necessary in enabling governments to compile their economic plans. Artificial neural networks (ANN) have been widely used in different forecasting and prediction applications, including in the oil industry.
Mohammed A. A. Al-qaness, Ahmed A. Ewees, Laith Abualigah, Ayman Mutahar AlRassas, Hung Vo Thanh, Mohamed Abd Elaziz   +5 more
doaj   +1 more source

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

Giant Armadillo Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems

Biomimetics, 2023
In this paper, a new bio-inspired metaheuristic algorithm called Giant Armadillo Optimization (GAO) is introduced, which imitates the natural behavior of giant armadillo in the wild.
Omar Alsayyed, Tareq Hamadneh, Hassan Al-Tarawneh, Mohammad Alqudah, Saikat Gochhait, Irina Leonova, Om Parkash Malik, Mohammad Dehghani   +7 more
doaj   +1 more source

An Innovative Metaheuristic Strategy for Solar Energy Management through a Neural Networks Framework

Energies, 2021
Proper management of solar energy as an effective renewable source is of high importance toward sustainable energy harvesting. This paper offers a novel sophisticated method for predicting solar irradiance (SIr) from environmental conditions. To this end,
Hossein Moayedi, Amir Mosavi
doaj   +1 more source

Metaheuristic-Based Feature Selection Methods for Diagnosing Sarcopenia with Machine Learning Algorithms

Biomimetics
This study explores the efficacy of metaheuristic-based feature selection in improving machine learning performance for diagnosing sarcopenia. Extraction and utilization of features significantly impacting diagnosis efficacy emerge as a critical facet ...
Jaehyeong Lee, Yourim Yoon, Jiyoun Kim, Yong-Hyuk Kim   +3 more
doaj   +1 more source

REVIEW OF THE MULTI-OBJECTIVE SWARM INTELLIGENCE OPTIMIZATION ALGORITHMS

Journal of ICT, 2021
Multi-objective swarm intelligence (MOSI) metaheuristics were proposed to solve multi-objective optimization problems (MOPs) that consists of two or more conflict objectives, in which improving an objective leads to the degradation of the other. The MOSI
Shaymah Akram Yasear, Ku Ruhana Ku-Mahamud   +1 more
doaj   +1 more source

Multi-Objective Optimization Techniques in Cloud Task Scheduling: A Systematic Literature Review

IEEE Access
Task scheduling in cloud computing environment aims to identify alternative methods for effectively allocating competing cloud tasks to constrained resources, optimizing one or more objectives.
Olanrewaju L. Abraham, Md Asri Bin Ngadi, Johan Bin Mohamad Sharif, Mohd Kufaisal Mohd Sidik   +3 more
doaj   +1 more source