Abstract: Non-dominated sorting genetic algorithms are recognized for their robustness and flexibility in optimizing renewable energy systems, surpassing traditional methods by handling multiple ...

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 ...

In this video, I explain how computer scientists simulate evolution to train or evolve AI. Explore the fascinating intersection of natural evolution and artificial intelligence. Rob Reiner’s son Nick ...

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 ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

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 ...

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, ...

ABSTRACT: The economic dispatch problem in power systems is a classic issue in the field of power systems. This paper first uses the traditional genetic algorithm to solve the economic dispatch ...

The official opening of the Foster + Partners-designed Alibaba Shanghai Campus office building, rooted in the city's DNA of innovation and openness, redefines the traditional office environment. The ...

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 ...