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Research map / Learning theory and algorithms / Combinatorial and search optimization

Two Efficient Local Search Algorithms for Maximum Weight Clique Problem

AAAI 2016 · Learning theory and algorithms › Combinatorial and search optimization · approach: Heuristic and local search algorithms · 95 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace CC with strong configuration checking (SCC) (ablation)LCC local search · DIMACS/BHOSLIBmax clique weight: 34183 -> 34254 (MANN a45)Helped
replace CC with SCC (ablation)LCC · massive graphsmax clique weight: 1879 -> 1997 (web-wikipedia2009)Helped
add BMS (best from k random swap pairs) instead of best-picking (ablation)LSCC · massive graphsmax clique weight: 1997 -> 3455 (web-wikipedia2009)Helped
LSCC vs tabu-search MN/TSMWCP local search · DIMACSmax clique weight: +62 on MANN a45Helped
LSCC vs MN/TS average weightMWCP local search · DIMACS C2000.9average clique weight: 10948.5 -> 10922.6Hurt
add BMS to MN/TSMN/TS · massive graphsability to find cliqueHelped
LSCC+BMS vs MN/TS+BMSlocal search · massive graphsrun time on tied instancesHelped

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