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 ...

To solve this problem, we propose several hybrid multi-population genetic algorithms. First, a novel crossover operator for the genetic algorithms is designed, through which a single parent chromosome ...

To this end, this paper proposes a malware detection method based on genetic algorithm optimization of the CNN-SENet network, which firstly introduces the SENet attention mechanism into the ...

This project implements and analyzes three optimization algorithms—Genetic Algorithm, Simulated Annealing, and Hill Climbing—to solve the Cutting Stock Problem. This classic problem involves ...

An, D. and Choi, J. (2020) Diagnostics 101 A Tutorial for Fault Diagnostics of Rolling Element Bearing Using Envelope Analysis in MATLAB. Applied Sciences, 10, Article 7302.

In this repository, I focus on above 6 IL methods, which affected other works a lot in history. These are fundamental algorithms, and might also help you learn other recent IL algorithms (such as, ...

A versatile computational framework realistically simulates fluorescence lifetime data in biological systems, enhancing rigor by quantifying signal variance and identifying limitations, and enabling ...