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» Randomizing Reductions of Search Problems
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AAAI
1998
13 years 9 months ago
Which Search Problems Are Random?
The typical difficulty of various NP-hard problems varies with simple parameters describing their structure. This behavior is largely independent of the search algorithm, but depe...
Tad Hogg
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
14 years 1 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
WEA
2004
Springer
129views Algorithms» more  WEA 2004»
14 years 1 months ago
Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists of identifying optimally diverse subsets of elements from some larger collection. The selection of elements is based on the d...
Geiza C. Silva, Luiz Satoru Ochi, Simone L. Martin...
AIPS
1998
13 years 9 months ago
Randomization in Backtrack Search: Exploiting Heavy-Tailed Profiles for Solving Hard Scheduling Problems
Westudytheruntimeprofilesofcompletebacktrackstylesearchmethodsappliedtohardschedulingproblems.Suchsearchmethodsoftenexhibita largevariabilityinperformanceduetothenon-standardnatur...
Carla P. Gomes, Bart Selman, Ken McAloon, Carol Tr...