title: Two hybrid compaction algorithms for the layout optimization problem.
abstract: In this paper we present two new algorithms for the layout optimization problem: this concerns the placement of circular, weighted objects inside a circular container, the two objectives being to minimize imbalance of mass and to minimize the radius of the container. This problem carries real practical significance in industrial applications (such as the design of satellites), as well as being of significant theoretical interest. We present two nature-inspired algorithms for this problem, the first based on simulated annealing, and the second on particle swarm optimization. We compare our algorithms with the existing best-known algorithm, and show that our approaches out-perform it in terms of both solution quality and execution time.
authors.affiliation: School of Management & CAD Center, Huazhong University of Science & Technology, Wuhan, China.
authors.forename: Ren-Bin
authors.initials: RB
authors.lastname: Xiao
authors.forename: Yi-Chun
authors.initials: YC
authors.lastname: Xu
authors.forename: Martyn
authors.initials: M
authors.lastname: Amos
mesh_terms: D000465:Algorithms; D000818:Animals; D001695:Biology / Q000379:methods; D019295:Computational Biology; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D011157:Population Dynamics; D049490:Systems Biology; D020798:Two-Hybrid System Techniques