Minimizing the makespan for Unrelated Parallel Machines

In this paper, we study the unrelated parallel machine problem for minimizing the makespan, which is NP-hard. We used Simulated Annealing (SA) and Tabu Search (TS) with Neighborhood Search (NS) based on the structure of the problem. We also used a modified SA algorithm, which gives better results than the traditional SA and developed an effective heuristic for the problem: Squeaky Wheel Optimization (SWO) hybrid with TS. Experimental results average 2.52% from the lower bound and are within acceptable timescales improving current best results for the problem. Key Words: makespan, unrelated parallel machines, simulated annealing, tabu search, squeaky wheel optimization

• Type: Journal
• Year: 2007
• Where: IJAIT
• Authors: Yunsong Guo, Andrew Lim, Brian Rodrigues, Liang Yang
• Keywords: IJAIT 2007, Simulated Annealing, Tabu Search, Unrelated Parallel