A growing movement helping people rise above adversity and discover their God-given purpose. The initiative has already reached more than half a million people nationwide through digital engagement, ...

In a disaster, every second is critical. Large-scale disasters, such as earthquakes, hurricanes, and landslides, often involve trapped or stranded survivors in need of rescue, and locating them as ...

Abstract: This paper presents a multi-objective dragonfly algorithm (MODA)-based drone base station (DBS) placement scheme aimed at improving energy efficiency in aerial mobile networks. Unlike ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Appels JSON unifiés via /execute UI web légère: Control Panel (tools) et Workers (realtime) Observabilité intégrée (SQLite, status, métriques) Outils variés: LLM, data, web/docs, intégrations, cartes, ...

This repo involves approach based on bio-inspired algorithms to solve the MATLAB and Simulink Challenge Project - Multi-UAV Path Planning for Urban Air Mobility. There is more information in this ...

Traditional multi-pass cells (MPCs) rely on grid search algorithms for design, which suffer from problems such as long design time and high computational cost. Additionally, these conventional methods ...