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Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis

AAAI 2019 · Learning theory and algorithms › Combinatorial and search optimization · approach: Multi-objective optimization · 73 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add SBO framework to GAGA · MaTPZfunctions significantly better: 30 / 0 / 0Helped
add SBO framework to GAGA · MaTPLfunctions significantly better: 8 / 21 / 1No clear effect
add SBO framework to CMAESCMAES · MaTPZfunctions significantly better: 27 / 3 / 0Helped
add SBO framework to CMAESCMAES · MaTPSfunctions significantly better: 24 / 0 / 6Mixed
add SBO framework to CMAESCMAES · MaTPLfunctions significantly better: 12 / 16 / 2Helped
replace MFEA with SBGAmany-tasking · MaTPZfunctions significantly better: 29 / 1 / 0Helped
replace MFEA with SBGAmany-tasking · MaTPLfunctions significantly better: 11 / 16 / 3Helped
replace MFEA with SBCMAESmany-tasking · MaTPLfunctions significantly better: 30 / 0 / 0Helped
replace EBS with SBO using GAGA multitasking · MaTPZfunctions significantly better: 0 / 1 / 29Hurt
replace EBS with SBO using GAGA multitasking · MaTPLfunctions significantly better: 16 / 11 / 3Helped
replace EBS with SBO using CMAESCMAES multitasking · MaTPSfunctions significantly better: 25 / 5 / 0Helped
use SBO adaptive transfer instead of MFEA fixed rmptransfer behavior · MaTPZ-MaTPLsurvival rate of transferred individualsHelped

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