[PDF] Top 20 Solving the Traveling Salesman Problem using Google Services and Simulated Annealing Algorithm

... Google maps provide an intuitive and highly responsive mapping interface with aerial imagery and detailed street data. In addition, map controls and overlays can be added to the map so that users can have full ... See full document

... nodes) Simulated Annealing Algorithm is presented to solve the well-known Traveling Salesman Problem ...presented algorithm, the temperature parameter is adjusted on the ... See full document

... The traveling salesman problem is a classic NP-hard combinatorial optimization problem which is important in operations research and theoretical computer ...and simulated ... See full document

... a problem by trying to improve a candidate solution with regard to a given measure of quality ...the problem being optimized and are able to search very large spaces of candidate ...Travelling ... See full document

... no algorithm at present which is quite efficient enough for the Travelling Salesman Problem (TSP) and all other problems which belong to the same ...for solving these problems are genetic ... See full document

... Travelling Salesman Problem (TSP) is a classic routing problem that attracts many researchers from different fields, including operational research, mathematics and several scientific and engineering ... See full document

... The Traveling Salesman Problem is a problem that is not deterministic and hard and quite known in combinatorial optimization studied in theory based computer science and operation research ... See full document

... The traveling salesman problem (TSP) has origin in 1832 in a hand book of ...NP-complete problem and NP-hard problem and till now only some special cases are found to be polynomially ... See full document

... tested Simulated Annealing (SA) adapted to the TSP ...the algorithm, the temperature is kept sufficiently high so that the system explores a large region of parameter space without getting trapped in ... See full document

... In order to solve TSP, GA has the advantages in finding a feasible solution in a very short time if the data that used is small or moderate. It can quickly scan a vast solution set. But, if the data that used is large, ... See full document

... ACS algorithm, the proposed approach is based on the divide and conquer partition ...ACS algorithm is better for problem of smaller size having less number of cities because of the random nature of ... See full document

... orienteering problem and related ones such as the k-TSP and k-stroll ...following problem: given a directed graph G = ( V, A) and two nodes s,t and a budget B, find an s-t walk of total length at most B ... See full document

... this algorithm, which this study has used, is that it avoids finding a local optimum as the real ...the algorithm, get closer to the global optimum, the speed decreases, and therefore achieving the final ... See full document

... We applied stochastic annealing to the PTSP using a combination of the 2-opt and 1-shift move-sets[34] estab- lished for the TSP. Both move-sets work similarly to that which would be expected for the ... See full document

... Previous research has shown that tower controllers face challenges related to routing aircraft efficiently, sequencing flights at the runway, and maintaining situation awareness (Atkin 2008). Observational methods have ... See full document

... SA algorithm gains the initial solution randomly and stochastically generates the new ...SALB algorithm chooses optimal resources to perform tasks according to system status and the size of the given task ... See full document

... picking problem in warehouses problem which arises in warehouses can be explained as follows: Suppose an order is received to supply some subset of items which are stored in ...This problem can be ... See full document

... new algorithm is designed for moving target TSP with resupply when all targets are moving away from the origin with positive constant velocity and a single salesman (moving with the constant velocity) has ... See full document

... In this study, the locations of mesh routers and their traffic demands are given, the paper focuses on the problem of determining which routers act the functions of gateways and the connectivity among them, i.e., ... See full document

... Multiple Traveling Salesman Problem (mTSP) is a combinatorial opti- mization problem in NP-hard ...for traveling a given set of cities by assigning each of them to a different ... See full document