Introduction: This study presents a modified version of Particle Swarm Optimization (PSO) using an all-optical computational update mechanism. The primary innovation and objective of this ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts that have puzzled scholars for centuries, detected cancers missed by human ...

Public Service Company of Oklahoma is asking a judge to block Rogers County leaders from using zoning laws to prevent the company from building additional generators on company-owned land. PSO owns ...

Abstract: Workflow scheduling in cloud-fog environment aims to optimize task allocation, execution time, and resource management. The complexity and dynamic nature of tasks and resources make finding ...

Repo ini merupakan kode dari server yang digunakan dalam pengujian Task Scheduling pada Server IT serta contoh algoritma scheduler untuk keperluan mata kuliah Strategi Optimasi Komputasi Awan (SOKA) ...

1 Henan Polytechnic, Zhengzhou, China 2 School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China This study mainly includes five sections. The first section primarily ...

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...

Abstract: This paper addresses a hybrid particle swarm optimization-based approach for solving a generating unit maintenance scheduling problem (GMS). We focus on the power system reliability such as ...