A Novel Tour Construction Heuristic for Traveling Salesman Problem Using LFF Principle
نویسندگان
چکیده
Less Flexibility First(LFF) principle is inspired and developed by enhancing some rule-of-thumb guidelines resulting from the generation-long work experience of human professionals in ancient days. In this paper, we generalize this principle to the classical Traveling Salesman Problem and propose a tour construction heuristic. Our new heuristic is closely related to Cheapest Insertion, a well-known heuristic for TSP. Then we prove that our algorithm can be implemented to run in O(n) time, achieving a tour no worse than Convex Hull, Cheapest Insertion (CHCI). Experimental results are comparable to simple local search heuristics such as 3-opt and baseline simulated annealing and better than any conventional tour construction heuristic at the expense of increased running time.
منابع مشابه
New Heuristic Algorithms for Solving Single-Vehicle and Multi-Vehicle Generalized Traveling Salesman Problems (GTSP)
Among numerous NP-hard problems, the Traveling Salesman Problem (TSP) has been one of the most explored, yet unknown one. Even a minor modification changes the problem’s status, calling for a different solution. The Generalized Traveling Salesman Problem (GTSP)expands the TSP to a much more complicated form, replacing single nodes with a group or cluster of nodes, where the objective is to fi...
متن کاملSolving the Multiple Traveling Salesman Problem by a Novel Meta-heuristic Algorithm
The multiple traveling salesman problem (MTSP) is a generalization of the famous traveling salesman problem (TSP), where more than one salesman is used in the solution. Although the MTSP is a typical kind of computationally complex combinatorial optimization problem, it can be extended to a wide variety of routing problems. This paper presents an efficient and evolutionary optimization algorith...
متن کاملDeveloping a guaranteed-accuracy heuristic learning algorithm for travelling salesman problems
This research investigates the feasibility of applying a guaranteed-accuracy heuristic learning algorithm to address the traveling salesman problem. The research focuses on tour construction. The advantage of tour construction heuristic is its simplicity in concept. However, tour construction heuristic often results in a sub-optimal solution and the tour often needs to be improved after it is b...
متن کاملMatch twice and stitch: a new TSP tour construction heuristic
We present a new symmetric traveling salesman problem tour construction heuristic. Two sequential matchings yield a set of cycles over the given point set; these are then stitched to form a tour. Our method outperforms all previous tour construction methods, but is dominated by several tour improvement heuristics. c © 2004 Elsevier B.V. All rights reserved.
متن کاملTwo new heuristic algorithms for Covering Tour Problem
Covering Tour Problem (CTP) is the generalized form of Traveling Salesman Problem (TSP), which has found different applications in the designing of distribution networks, disaster relief, and transportation routing. The purpose of this problem is to determine the Hamiltoniancyclewiththe lowest costusinga subset of all the nodes, such that the other nodes would be in a distance shorter than the ...
متن کامل