Results 151 to 160 of about 59,482 (207)
An efficient coverage path planning method for UAV in complex concave regions. [PDF]
Wu W, Wang Z, Lin L, Chang X, Tian L.
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Research on 3D Path Optimization for an Inspection Micro-Robot in Oil-Immersed Transformers Based on a Hybrid Algorithm. [PDF]
Feng J, Liu X, Ji H, He C, Liu L.
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Advances in Quantum Computation in NISQ Era. [PDF]
Xie XD, Zhang X, Koczor B, Yuan X.
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How our advisory board members are using generative AI in teaching. [PDF]
Patel P, Mani G.
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ADVCSO: Adaptive Dynamically Enhanced Variant of Chicken Swarm Optimization for Combinatorial Optimization Problems. [PDF]
Wu K, Wang L, Liu M.
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Automatic Extraction and Compensation of P-Bit Device Variations in Large Array Utilizing Boltzmann Machine Training. [PDF]
Zhang B +6 more
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TRAVELING SALESMAN PROBLEM OF SEGMENTS
International Journal of Computational Geometry & Applications, 2004In this paper, we present a polynomial time approximation scheme (PTAS) for a variant of the traveling salesman problem (called segment TSP) in which a traveling salesman tour is sought to traverse a set of n ∊-separated segments in two dimensional space.
Xu, Jinhui +3 more
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Time-Dependent Travelling Salesman Problem
OPSEARCH, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bhavani, V., Sundara Murthy, M.
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Traveling Salesman Problem with Clustering
Journal of Statistical Physics, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schneider, Johannes J. +2 more
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2017
This chapter is devoted to the Traveling Salesman Problem (TSP), one of the most famous problems of combinatorial optimization. Compact ILP models for this problem have been proposed since a long time, but most of them are not effective for computational purposes.
Giuseppe Lancia, Paolo Serafini
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This chapter is devoted to the Traveling Salesman Problem (TSP), one of the most famous problems of combinatorial optimization. Compact ILP models for this problem have been proposed since a long time, but most of them are not effective for computational purposes.
Giuseppe Lancia, Paolo Serafini
openaire +1 more source

