Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design Date: May 28, 2010 Source: Inderscience Summary: The familiar early summer call of the cuckoo has inspired ...

The study explores how quantum algorithms, particularly techniques in quantum machine learning, can enhance the performance of robots in tasks such as operation, navigation, and grasping. The core ...

In this paper, the Particle Swarm Optimization (PSO) algorithm is used to solve the two-way flow of quayside vessel and Counter truck SCS problem. To solve this problem, A linear integer programming ...

It also stressed that the algorithm has a tracking efficiency of 97.54%, which compares to 95.56% for the grasshopper optimization algorithm (GOA), 94.27% for particle swarm optimization (PSO), 91 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Researchers have developed a maximum power point tracking algorithm based on the social hierarchy and hunting strategy of grey wolves. When tested under realistic shading conditions, the grey wolf ...

The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...