The Covering Salesman Problem (CSP) is a generalization of the Traveling in which tour not required to visit all vertices, as long vertices are covered by tour. objective CSP find minimum length Hamiltonian cycle over subset that covers an undirected graph. In this paper, valid inequalities from generalized traveling salesman problem applied addition new explore distinct aspects problem. A bran...

In this paper, we present a path planner for low-altitude terrain coverage in known environments with unmanned rotary-wing micro aerial vehicles (MAVs). Airborne systems can assist humanitarian demining by surveying suspected hazardous areas (SHAs) cameras, ground-penetrating synthetic aperture radar (GPSAR), and metal detectors. Most available implementations MAVs do not consider obstacles thu...

This paper introduces the pickup and delivery traveling salesman problem with handling costs (PDTSPH). In the PDTSPH, a single vehicle has to transport loads from origins to destinations. Loading and unloading of the vehicle is operated in a last-in-firstout (LIFO) fashion. However, if a load must be unloaded that was not loaded last, additional handling operations are allowed to unload and rel...

The Generalized Traveling Salesman Problem (GTSP) is an extension of the well-known Traveling Salesman Problem (TSP), where the node set is partitioned into clusters, and the objective is to find the shortest cycle visiting each cluster exactly once. In this paper, we present a new hybrid Ant Colony System (ACS) algorithm for the symmetric GTSP. The proposed algorithm is a modification of a sim...

Abstract: Multiple traveling salesman problems (MTSP) are a typical computationally complex combinatorial optimization problem, which is an extension of the famous traveling salesman problem (TSP). The MTSP can be generalized to a wide variety of routing and scheduling problems. The paper makes the attempt to show how Genetic Algorithm (GA) can be applied to the MTSP with ability constraint. In...