The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning DEs are ...

This study proposes a relatively simple computational model of organizational evolution based on the genetic algorithm. The model includes three organizational processes: variation, adaptation, and ...

As part of the effort to devise an algorithm that can dogfight, DARPA selected eight software-development companies to participate in the AlphaDogfight Trials, an A.I. competition that culminated ...

To address the flexible assembly job shop scheduling problem, an improved differential evolution algorithm based on Q-Learning is proposed to optimize the makespan, the average product completion time ...

Article citations More>> Qudah, A. and Mokheimer, E.M.A. (2024) Optimizing Photovoltaic and Battery Integration for RO Desalination Using Differential Evolution Algorithm. Energy Proceedings, 43, 1-7.