Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …

Segmentation is a critical task in image processing. Bi-level segmentation involves dividing
the whole image into partitions based on a threshold value, whereas multilevel …

Many cluster-based routing techniques for Wireless Sensor Networks (WSNs) have been
proposed in the literature. However, most of the proposed protocols emphasized on the …

This paper presents a novel algorithm named the motion-encoded particle swarm
optimization (MPSO) for finding a moving target with unmanned aerial vehicles (UAVs) …

In this paper, a new modified particle swarm optimization algorithm with negative knowledge
is proposed to solve the mixed-model two-sided assembly line balancing problem. The …

Particle swarm optimization is one of the most effective optimization algorithms motivated by
bird flocking behaviours. Population topology is a key aspect of particle swarm optimization …

In this paper, a well known NP-hard problem, the Constrained Shortest Path problem, is
studied. As efficient metaheuristic approaches are required for its solution, a new hybridized …

In recent years, the static shortest path (SP) problem has been well addressed using
intelligent optimization techniques, eg, artificial neural networks, genetic algorithms (GAs) …

In this paper, a carton heterogeneous vehicle routing problem with a collection depot is
presented, which can collaboratively pick the cartons from several carton factories to a …

With the aggravation of the global greenhouse effect and environmental pollution, energy
saving and emission reduction have already become the consensus of the manufacturing …