atlas

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

A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II)

AAAI 2022 · Learning theory and algorithms › Combinatorial and search optimization · approach: Multi-objective optimization · 63 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use population size N ≥ 4(n+1) instead of population size equal to the Pareto-front sizeNSGA-II with one-bit mutation on OneMinMax · OneMinMaxability to cover the full Pareto front: N = n+1: exponential number of iterations; N ≥ 4(n+1): expected at most \frac{2e^2}{e-1}n(\ln n + 1) iterationsHelped
Use one-bit or standard bit-wise mutation with one offspring per parent or uniform-random parent selectionNSGA-II with N ≥ 4(n+1) · OneMinMaxiterations to cover the full Pareto front: at most \frac{2e^2}{e-1}n(\ln n + 1)Helped
Use binary tournament parent selection instead of one offspring per parent or uniform-random parent selectionNSGA-II with N ≥ 4(n+1) · OneMinMaxiterations to cover the full Pareto front: \frac{2e^2}{e-1}n(\ln n + 1) -> \tfrac{200e}{3}n(\ln n + 1)Mixed
Use one-bit or standard bit-wise mutation with one offspring per parent or uniform-random parent selectionNSGA-II with N ≥ 4(n+1) · LeadingOnesTrailingZeroesiterations to cover the full Pareto front: \frac{2e^2}{e-1} n^2Helped
Use binary tournament parent selection instead of one offspring per parent or uniform-random parent selectionNSGA-II with N ≥ 4(n+1) · LeadingOnesTrailingZeroesiterations to cover the full Pareto front: \frac{2e^2}{e-1} n^2 -> 15en^2Mixed
Use population size equal to the Pareto-front size rather than at least four times that sizeNSGA-II with one-bit mutation once per parent · OneMinMaxfraction of Pareto front covered: around 20\% of the Pareto front not coveredHurt
Use population size equal to the Pareto-front size rather than at least four times that sizeNSGA-II · LeadingOnesTrailingZeroesfraction of Pareto front covered: around 40\% of the Pareto front not coveredHurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy