Gossip algorithms for heterogeneous multi-vehicle routing problems

被引：34
|
作者：
Franceschelli, Mauro [1 ]
Rosa, Daniele [1 ]
Seatzu, Carla [1 ]
Bullo, Francesco [2 ]
机构：
[1] Univ Cagliari, Dept Elect & Elect Engn, I-09124 Cagliari, Italy
[2] Univ Calif Santa Barbara, Dept Mech Engn, Santa Barbara, CA 93106 USA
来源：
NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2013年 / 10卷
关键词：
Gossip algorithms; Distributed optimization; Multi-TSP; Vehicle routing; TRAVELING SALESMAN PROBLEM; APPROXIMATE ALGORITHMS;
D O I：
10.1016/j.nahs.2013.03.001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we address a class of heterogeneous multi-vehicle task assignment and routing problems. We propose two distributed algorithms based on gossip communication: the first algorithm is based on a local exact optimization and the second is based on a local approximate greedy heuristic. We consider the case where a set of heterogeneous tasks arbitrarily distributed in a plane has to be serviced by a set of mobile robots, each with a given movement speed and task execution speed. Our goal is to minimize the maximum execution time of robots. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：156 / 174
页数：19
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