Abstract: The natural process of genetic development in living organisms is analogous to the growth of genetic algorithms, an intelligent bionic algorithm with tremendous potential for global ...

Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...

This work aims at developing a genetic algorithm (GA) to pursue the optimization of hybrid laminated composite structures. Fiber orientation (predefined ply angles), material (glass-epoxy or ...

This project implements a genetic algorithm to optimize and reduce chemical reaction mechanisms using Cantera. The goal is to create reduced mechanisms that maintain accuracy while minimizing the ...

Abstract: Genetic algorithm is a commonly used bio-heuristic optimization algorithm in machine learning, with inherent hidden parallelism and good global optimization capability. In this paper, ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

1 School of Information and Intelligent Engineering, Nantong College of Science and Technology, Nantong, China 2 Faculty of Social, Business and Computer Sciences, Varna Free University, Varna, ...

This paper deals with the two-dimensional strip packing problem (2D-SPP) with the order/or multi-drop and vertical stability constraints. The existing exact algorithm that solves this problem is not ...

This study proposes a genetic algorithm-based feature point resampling module to address uneven feature distribution in SLAM. Integrated with ORB-SLAM2, GeneA-SLAM optimizes RMSE of APE/RPE by up to ...