OPTIMIZING MULTI-MODAL ELECTROMAGNETIC DESIGN PROBLEMS USING QUANTUM PARTICLE SWARM OPTIMIZATION WITH DIFFERENTIAL EVOLUTION

Optimizing Multi-Modal Electromagnetic Design Problems Using Quantum Particle Swarm Optimization With Differential Evolution

Many versatile and promising swarm intelligence evolutionary algorithms are being developed to solve engineering Phonograph optimization problems.Although evolutionary algorithms have been implemented in various optimization fields, there is still potential for enhancement in the domain of complex, electromagnetic, and multimodal objective problems

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Methodology for Determining the Nearest Destinations for the Evacuation of People and Equipment from a Disaster Area to a Safe Area

Floods are the most frequent natural disasters in the world.In the system of warning and flood protection of areas at risk of flooding in the event of its occurrence, it seems advisable to initially work out the possibility of evacuating the population, animals, equipment, material values, etc.In this article, a methodology for determining destinat

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Understanding Online Purchases with Explainable Machine Learning

Customer profiling in e-commerce is a powerful tool that enables organizations to create personalized offers through direct marketing.One crucial objective of customer profiling is to predict whether a website visitor will make a purchase, thereby generating revenue.Machine learning models are the most accurate means to Environmental achieve this o

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AN INVITATION TO NARRATE TO EDUCATE HISTORY OF LIFE AND UNIVERSITY

This paper is an invitation to all those living the university to articulate their narrative in order ACTIVEWEAR to improve their educational process.The text accounts for the tensions and illusions of two university life stories.It is a draft starting from the meeting point of what living the university entails.A building up of the pedagogical kno

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