Conventional multiagent path finding (MAPF) problems aim to compute an ensemble of collision-free paths for multiple agents from their respective starting locations to preallocated …
This paper addresses a newly introduced variant of traveling salesman problem, viz. k- Interconnected Multi-Depot Multi-Traveling Salesman Problem (k-IMDMTSP). This problem …
High competition in today's global market has forced the organisations to invest in and focus on their logistics system. Logistics is a business planning framework for the management of …
In multi-agent applications such as surveillance and logistics, fleets of mobile agents are often expected to coordinate and safely visit a large number of goal locations as efficiently …
Infectious disease outbreaks have unfortunately been very real threats to the general population and economic development in the past decades whether they are caused by …
This article presents a new modified version of the ant colony optimization (ACO) mixed with insert, swap and 2-opt algorithm called NMACO for solving the multiple traveling salesman …
Conventional Multi-Agent Path Finding (MAPF) problems aim to compute an ensemble of collision-free paths for multiple agents from their respective starting locations to pre …
A fundamental variant of the classical traveling salesman problem (TSP) is the so-called multiple TSP (mTSP), where a set of m salesmen jointly visit all cities from a set of n cities …
This article presents an approximation algorithm for a Task Allocation, Sequencing and Scheduling Problem (TASSP) involving a team of human operators and robots. The robots …