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Title: Nonlinear optimization simplified by hypersurface deformation

Journal Article · · J. Stat. Phys.; (United States)
DOI:https://doi.org/10.1007/BF01011658· OSTI ID:6139817

A general strategy is advanced for simplifying nonlinear optimization problems, the ant-lion method. This approach exploits shape modifications of the cost-function hypersurface which distend basins surrounding low-lying minima (including global minima). By intertwining hypersurface deformations with steepest-descent displacements, the search is concentrated on a small relevant subset of all minima. Specific calculations demonstrating the value of this method are reported for the partitioning of two classes of irregular but nonrandom graphs, the prime-factor graphs and the pi graphs. We also indicate how this approach can be applied to the traveling salesman problem and to design layout optimization, and that it may be useful in combination with simulated annealing strategies.

Research Organization:
AT and T Bell Lab., Murray Hill, NJ (USA)
OSTI ID:
6139817
Journal Information:
J. Stat. Phys.; (United States), Vol. 52:5-6
Country of Publication:
United States
Language:
English