Local Search Algorithms for the Maximal Planar Layout Problem

Project description

The problem of laying out facilities is practically important in a modern manufacturing environment. This problem can be formulated as a weighted maximal planar graph in which vertices represent facilities and edge weights represent desirability measures between facilities. The objective is to find a planar graph that can be drawn on a plane without any edges intersecting with the highest sum of edge weights. Exact solution method can only solve small sized problems. In this paper, local search algorithms based on steepest ascent, hybrid simulated annealing and tabu search with a non-monotonic cooling schedule, and tabu search with a hashing function are developed to obtain near-optimal solutions. Different search strategies are investigated. All the developed algorithms are compared with existing construction methods and a branch and bound exact algorithm on a set of practical size problems. The proposed algorithms performed very well in terms of solution quality and computation time.

Researchers

First name Last name Gender Rank Affiliated Institution Country
Ibrahim Osman Male American University of Beirut Lebanon

Bio: N/A

Website

 

Scientific field

Business & Public administration
 

Start Year

2004
 

End Year

2006
 

Keywords

Social impact

Are you interested in disseminating your research work outside the academic institutions?

No

Are there institutions/organizations contacted you to disseminate your research project?

No

How did you disseminate your research work outside academic institutions?

What obstacles have you faced as you tried to facilitate the social impact of your research?