Travelling Salesperson Problem for Dynamic Systems

Solving TSP using DARO

Travelling Salesperson Problem is finding a Hamiltonian cycle with minimum weight. The paper presents solution travelling salesperson problem with Genetic Algorithm. Dynamic allocation of reproduction operators and social disaster technique are used for generating the population and based on the convergence analysis of evaluation process. The method is demonstrated and found to be effective in ...

Planning ahead in a harvesting variant of the travelling salesperson problem

A Task and Motion Planning Algorithm for the Dubins Travelling Salesperson Problem

A new motion planning algorithm for the so-called Dubins Travelling Salesperson Problem is derived, and compared via simulations with a number of existing algorithms from the literature. In its general form, the new algorithm is dubbed “k-step look-ahead algorithm” and stems naturally from the formulation of the Dubins Travelling Salesperson Problem as a minimum-time control problem. When the m...

Humanlike Problem Solving in the Context of the Traveling Salesperson Problem

Computationally hard problems, like the Traveling Salesperson Problem, can be solved remarkably well by humans. Results obtained by computers are usually closer to the optimum, but require high computational effort and often differ from the human solutions. This paper introduces Greedy Expert Search (GES) that strives to show the same flexibility and efficiency of human solutions, while produci...

Autonomous Units for Solving the Traveling Salesperson Problem Based on Ant Colony Optimization1

Communities of autonomous units are rule-based and graphtransformational systems with a well-defined formal semantics. The autonomous units of a community act and interact in a common environment while striving for their goals. Ant colony systems consist of a set of autonomously behaving ants and are often employed as a metaheuristics for NP-hard logistic problems. In this paper, we demonstrate...