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Traveling Salesman Problem

Papers

Showing 201–225 of 254 papers

TitleStatusHype
A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing—0
Generating Local Search Neighborhood with Synthesized Logic Programs—0
The double traveling salesman problem with partial last-in-first-out loading constraints—0
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP—0
OrderNet: Ordering by Example—0
TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture—0
Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem—0
Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path FindingCode0
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies—0
Genetic Algorithms and the Traveling Salesman Problem a historical Review—0
A Hybrid Genetic Algorithm for the Traveling Salesman Problem with DroneCode0
Solving the clustered traveling salesman problem with d-relaxed priority ruleCode0
Multi-robot Dubins Coverage with Autonomous Surface Vehicles—0
Cooperative Group Optimization with Ants (CGO-AS): Leverage Optimization with Mixed Individual and Social Learning—0
Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented with Fuzzy Clustering—0
Reduction of the Pareto Set in Bicriteria Asymmetric Traveling Salesman Problem—0
Hidden Hamiltonian Cycle Recovery via Linear Programming—0
A Variable Neighborhood Search for Flying Sidekick Traveling Salesman Problem—0
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies—0
Graph Planning with Expected Finite Horizon—0
Improving TSP Solutions Using GA with a New Hybrid Mutation Based on Knowledge and RandomnessCode0
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure—0
Opportunistic Self Organizing Migrating Algorithm for Real-Time Dynamic Traveling Salesman Problem—0
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop—0
Learning to Align the Source Code to the Compiled Object CodeCode0
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