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NSGA-III/Evidence
Method evidence record

NSGA-III

NSGA-III (Non-dominated Sorting Genetic Algorithm III), developed by Kalyanmoy Deb and Himanshu Jain in 2014, is a state-of-the-art evolutionary algorithm for many-objective optimization problems. It extends the popular NSGA-II algorithm with reference-point-based selection, enabling effective handling of problems with three or more conflicting objectives.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Non-dominated Sorting Genetic Algorithm III
Taxonomic method record · ml-model / operations-research
  • Deb, K., & Jain, H. (2014). An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints. IEEE Transactions on Evolutionary Computation, 18(4), 577-601. · DOI 10.1109/TEVC.2013.2281534
  • Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182-197. · DOI 10.1109/4235.996017
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

See alsoMulti-Objective Optimizationmachine-suggested · Relational suggestion, not evidence.See alsoParticle Swarm Optimizationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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