%0 Journal Article
	%A Mustahsan Mir and  Ahmed Hassanin and  Mohammed A. Al-Saleh
	%D 2016
	%J International Journal of Industrial and Manufacturing Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 111, 2016
	%T Identification of Promising Infant Clusters to Obtain Improved Block Layout Designs 
	%U https://publications.waset.org/pdf/10003805
	%V 111
	%X The layout optimization of building blocks of unequal areas has applications in many disciplines including VLSI floorplanning, macrocell placement, unequal-area facilities layout optimization, and plant or machine layout design. A number of heuristics and some analytical and hybrid techniques have been published to solve this problem. This paper presents an efficient high-quality building-block layout design technique especially suited for solving large-size problems. The higher efficiency and improved quality of optimized solutions are made possible by introducing the concept of Promising Infant Clusters in a constructive placement procedure. The results presented in the paper demonstrate the improved performance of the presented technique for benchmark problems in comparison with published heuristic, analytic, and hybrid techniques.
	%P 488 - 493