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City Baltimore / / Company Experimental Results Asa / S. JOHNSON AT&T Bell Laboratories / Digital Equipment Corporation / AT&T Bell Laboratories / The times / / Currency USD / / Facility California LYLE A. McGEOCH Amherst College / Massachusetts CATHERINE SCHEVON Johns Hopkins University / / IndustryTerm minimum energy / trapped energy level / slower algorithm / extra solutions / optimization algorithm / e-d / near-optimal solutions / local optimization algorithm / natural ocal optimization algorithm / Local search / nonfeasible solutions / final solution / term feasible solution / generic algorithm / ter solutions / given solution / ov chain / longer ru solutions / uch solutions / legal solutions / energy / nonfeasible final solution / simulated annealing algorithm / feasible solution / earlier feasible solution / arbitrary solution / approximate solution / imization algorithm / basic local search procedure / higher energy / basic annealing algorithm / simulated annealing algorithms / equilibrium energy level / individual gas molecules / generic annealing algorithm / physical systems / startil solution / / OperatingSystem UNIX / / Organization Johns Hopkins University / Operations Research Society of America / Amherst College / / Person Murray Hill / Garey / JOHNSON ET AL / / / Position mayor / th Traveling Salesman / rT / / Product E-Ten G500 Smartphone / UNIX / / ProgrammingLanguage C / / ProvinceOrState Maryland / / PublishedMedium Physics Today / / Technology specific algorithm / simulated annealing algorithm / A. The algorithm / annealing algorithm / same neighling algorithm / Kernighan-Lin algorithm / UNIX / simulated annealing algorithms / generic algorithm / UNIX operating system / imization algorithm / well known Metropolis algorithm / K-L algorithm / natural ocal optimization algorithm / 0 Algorithm / parameterized / generic annealing algorithm / optimization algorithm / Metropolis algorithm / two algorithms / KernighanLin algorithm / parameterized algorithm / one algorithm / paging / local optimization algorithm / Simulation / basic annealing algorithm / slower algorithm / /
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ARTICLES OPTIMIZATION BY SIMULATED ANNEALING: AN EXPERIMENTAL EVALUATION; PART I, GRAPH PARTITIONING DAVID S. JOHNSON AT&T Bell Laboratories, Murray Hill, New Jersey