Title :
An Agent Simulation Heuristics for Snowplowing Problems
Author :
Takahashi, Satoshi ; Matsuo, Tokuro
Author_Institution :
Grad. Sch. of Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba, Japan
Abstract :
This paper proposes a heuristics method for huge task allocation problem over snowblower tasks. It is difficult to solve the huge task allocation problem. A snowblower problem includes a task allocation problem and agents scheduling problem. Given a directed graph as city map, we should consider some arc-disjoint partitions of the graph as allocation. A graph partition problem is a fundamental problem of combinatorics, there are some effective algorithms for the problem. However, in the case that we consider the task allocation and scheduling, the graph partition problem is too difficult. Because of this fact, we employ an agent simulation for solving the snowblower problem.
Keywords :
computational complexity; directed graphs; heuristic programming; optimisation; scheduling; agent scheduling problem; agent simulation heuristics; arc-disjoint graph partition; directed graph; snowplowing problem; task allocation problem; Complexity theory; Heuristic algorithms; Modeling; Partitioning algorithms; Resource management; Roads; Snow; Agent Simulation Heuristics; Decision Making; Scheduling;
Conference_Titel :
Systems Engineering (ICSEng), 2011 21st International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-1078-0
DOI :
10.1109/ICSEng.2011.36