The research objective is to apply the theory of graphs to the sector and use the exact method of the Travel Agent Problem (TSP) in dynamic programming to generate optimal routes by sectors. In addition to measuring the variables longitudinally, we test the researcher's hypothesis using ...
The first approximation algorithm combines exhaustive search for sub-optimal representatives for the clusters with dynamic programming for estimating the obtained variants and it is PTAS when k=O(logn). The second one is based on the Arora (1998)’s PTAS in the case of classical Euclidean TSP ...
A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems Image 1 Applied Soft ComputingJournal2023,Applied Soft Computing BladimirToaza,DomokosEsztergár-Kiss 3.2.11Implementation difficulty Some guidelines define the steps of thealgorithm designand the development process to...
TSP 943.Find-the-Shortest-Superstring (H+) 2247.Maximum-Cost-of-Trip-With-K-Highways (H) Catalan 096.Unique-Binary-Search-Trees (M+) 1259.Handshakes-That-Don't-Cross (M+) Permutation 629.K-Inverse-Pairs-Array (H) 903.Valid-Permutations-for-DI-Sequence (H) 1866.Number-of-Ways-to-Re...
We introduce a novel approach to Query-by-Example (QbE) retrieval, utilizing fundamental principles of posteriorgram-based Spoken Term Detection (STD), in this paper. Proposed approach is a kind of modification of widely used seg-mental variant of dynamic programming algorithm. Our solution represen...
Nasr, A.A., El-Bahnasawy, N.A., Attiya, G., El-Sayed, A.: Using the TSP solution strategy for cloudlet scheduling in cloud computing. J. Netw. Syst. Manage. 27, 366–387 (2019) Article Google Scholar Sait, S.M., Shahid, K.S.: Optimal multi-dimensional vector bin packing u...
Liu et al. studied the path optimization problem of intelligent driving vehicles and combined the prior reinforcement learning technology with the A ∗ algorithm to search for the shortest path [4]. Meng et al. studied the serial color traveling salesman path planning problem (SCTSP) and ...
TSP 943.Find-the-Shortest-Superstring (H+) 2247.Maximum-Cost-of-Trip-With-K-Highways (H) Catalan 096.Unique-Binary-Search-Trees (M+) 1259.Handshakes-That-Don't-Cross (M+) Permutation 629.K-Inverse-Pairs-Array (H) 903.Valid-Permutations-for-DI-Sequence (H) 1866.Number-of-Ways-to-Re...
In particular, the authors first noted that the minimum cyclic permutation of Γ (i.e., the optimal solution to the TSP instance encoded by D) is always smaller than or equal to the average of the cyclic permutations of Γ compatible with the optimal tree (i.e., the optimal solution to...
This algorithm is suitable for the centralized architecture of the KDN, where a multi-objective optimization problem for spectrum allocation is modeled based on the RL algorithm. In [80], the authors developed a dynamic spectrum allocation algorithm in a distributed manner using a deep multi-user ...