most citedA Survey on Parallel Genetic Algorithms for Shop Scheduling Problems

5 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2023★ 5 cited

A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data

Jia Luo, Daiyun Peng, Lei Shi +2

The COVID-19 infodemic, characterized by the rapid spread of misinformation and unverified claims related to the pandemic, presents a significant challenge. This paper presents a c…

cs.MA2023

Fuzzy Multi-Agent Simulation of COVID-19 Pandemic Spreading

Didier El Baz, Andrei Doncescu

In this paper, we present a new approach for Covid-19 Pandemic spreading simulation based on fuzzy multi agents. The agent parameters consider distribution of the population accord…

cs.CY2023

Can we Trust Chatbots for now? Accuracy, reproducibility, traceability; a Case Study on Leonardo da Vinci's Contribution to Astronomy

Didier El Baz

Large Language Models (LLM) are studied. Applications to chatbots and education are considered. A case study on Leonardo's contribution to astronomy is presented. Major problems wi…

cs.DC2019★ 5 cited

A Survey on Parallel Genetic Algorithms for Shop Scheduling Problems

Jia Luo, Didier El Baz

There have been extensive works dealing with genetic algorithms (GAs) for seeking optimal solutions of shop scheduling problems. Due to the NP hardness, the time cost is always hea…

cs.DC2019

A Dual Heterogeneous Island Genetic Algorithm for Solving Large Size Flexible Flow Shop Scheduling Problems on Hybrid multi-core CPU and GPU Platforms

Jia Luo, Didier El Baz

The flexible flow shop scheduling problem is an NP-hard problem and it requires significant resolution time to find optimal or even adequate solutions when dealing with large size…