A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …

Abstract The Particle Swarm Optimization technique (PSO) is widely used in practical
applications due to its flexibility and strong optimization performance. However, like other …

Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

This paper introduces AdaSwarm, a novel gradient-free optimizer which has similar or even
better performance than the Adam optimizer adopted in neural networks. In order to support …

Based on dimensional memory mechanism and adaptive elite population, this paper
proposes a satisfactory and efficient artificial bee colony algorithm (DMABC_elite) to solve …

In recent years, many improved particle swarm optimization (PSO) algorithms have been
developed to improve the performance of PSO. These improved algorithms have greatly …

Diabetes is a set of long-term metabolic issues characterized by high blood glucose levels
over a drawn-out time. It is a challenging and threatening disease because nearly half of …

Recent advances in communication enable individuals to use phones and computers to
access information on the web. E-commerce has seen rapid development, eg, Alibaba has …

Abstract Collision avoidance of Arm Robot is designed for the robot to collide objects, collide
the environment, and collide its body. Self-collision avoidance was successfully trained …

This paper tackles the age-old question of derivatefree optimization in neural networks. This
paper introduces AdaSwarm, a novel derivative-free optimizer to have similar or better …