In a complex underwater environment, finding a viable, collision-free path for an
autonomous underwater vehicle (AUV) is a challenging task. The purpose of this paper is to …

Mobile robots can be applied to a wide range of problems, and the demand for these
applications has risen in recent years, increasing interest in the study of mobile robotics …

For a few years, route optimisation and efficient traffic flow are a big challenge, especially in
a current situation when 54.5% population is living in the urban environment all over the …

This paper is aimed at designing a navigation strategy for humanoid robots using a
hybridised technique consisting of adaptive particle swarm optimisation and adaptive ant …

The bullwhip effect is the amplification of the order variability in a supply chain. This
phenomenon causes important financial cost due to higher inventory levels and agility …

This paper uses the grid method with coding tactic based on effective vertexes of barriers
(EVB-CT-GM) as the method of environment modeling and ant colony optimization algorithm …

This paper demonstrates that ant colony optimization can efficiently improve the traffic
situation in an urban environment. A Dynamic Travel Path Optimization System (DTPOS) …

This paper is concerned with the problem of path planning in discrete-time pursuit-evasion
games (PEGs) with obstacles. We present the so-called I-ACO (Improved Ant Colony …

For the last few decades most of the world population is heading to the urban environment
that is directly effecting the every aspect of the life. The pace of increasing vehicles is greatly …

Path planning is used in, but not limited to robotics, telemetry, aerospace, and medical
applications. The goal of the path planning is to identify a route from an origination point to a …