More than a thousand mathematical problems arising in engineering and science have been shown to be NP-hard. Problems of practical size that are NP-hard can only be solved by devising polynomial-time heuristics, with no guarantee whatsoever on the quality of the solution. Extensive experimentation and comparative analysis is required before we can decide on a `better heuristic'. Web archives on this site support the design of experiments to evaluate performance of algorithms that solve NP-hard problem. The purpose of this report is to give the reader a brief navigational tour of the current directories, address the challenges goals and objectives of these archives, contrast current approaches to the design and reporting of benchmarking...
Thousands of Machine Learning research papers contain experimental comparisons that usually have bee...
Measuring and reporting performance of parallel computers con-stitutes the basis for scientific adva...
AbstractWe report results from large-scale experiments in satisfiability testing. As has been observ...
The last 30 years have seen enormous progress in the design of algorithms, but comparatively little ...
The known NP-hardness results imply that for many combinatorial optimization problems there are no e...
Benchmark experiments nowadays are the method of choice to evaluate learn-ing algorithms in most res...
One of the primary methods employed by researchers to judge the merits of new heuristics and algorit...
In practical applications, some important classes of problems are NP-complete. Although no worst-cas...
The focus of this senior thesis is applying different machine learning optimization algorithms to di...
One of the primary methods employed by researchers to judge the merits of new heuristics and algorit...
A decade ago, a beautiful paper by Wagner [Wag87] developed a "toolkit" that in certain ca...
The theory of NP-completeness [GJ79] is arguably the most important intellectual contribution of The...
International audienceBenchmarking aims to investigate the performance of one or several algorithms ...
The last twenty years have seen enormous progress in the design of algorithms, but little of it has ...
Funding: Nguyen Dang: is a Leverhulme Early Career Fellow; Ian Miguel: supported by EPSRC EP/V027182...
Thousands of Machine Learning research papers contain experimental comparisons that usually have bee...
Measuring and reporting performance of parallel computers con-stitutes the basis for scientific adva...
AbstractWe report results from large-scale experiments in satisfiability testing. As has been observ...
The last 30 years have seen enormous progress in the design of algorithms, but comparatively little ...
The known NP-hardness results imply that for many combinatorial optimization problems there are no e...
Benchmark experiments nowadays are the method of choice to evaluate learn-ing algorithms in most res...
One of the primary methods employed by researchers to judge the merits of new heuristics and algorit...
In practical applications, some important classes of problems are NP-complete. Although no worst-cas...
The focus of this senior thesis is applying different machine learning optimization algorithms to di...
One of the primary methods employed by researchers to judge the merits of new heuristics and algorit...
A decade ago, a beautiful paper by Wagner [Wag87] developed a "toolkit" that in certain ca...
The theory of NP-completeness [GJ79] is arguably the most important intellectual contribution of The...
International audienceBenchmarking aims to investigate the performance of one or several algorithms ...
The last twenty years have seen enormous progress in the design of algorithms, but little of it has ...
Funding: Nguyen Dang: is a Leverhulme Early Career Fellow; Ian Miguel: supported by EPSRC EP/V027182...
Thousands of Machine Learning research papers contain experimental comparisons that usually have bee...
Measuring and reporting performance of parallel computers con-stitutes the basis for scientific adva...
AbstractWe report results from large-scale experiments in satisfiability testing. As has been observ...