Borg: an auto-adaptive many-objective evolutionary computing framework.

doi:10.1162/EVCO_a_00075

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Article

Borg: an auto-adaptive many-objective evolutionary computing framework.

Evolutionary computation - 1 Jan 2013

Hadka David, Reed Patrick

Abstract excerpt

This study introduces the Borg multi-objective evolutionary algorithm (MOEA) for many-objective, multimodal optimization. The Borg MOEA combines ε-dominance, a measure of convergence speed named ε-progress, randomized restarts, and auto-adaptive multioperator recombination into a unified optimization framework. A comparative study on 33 instances of 18 test problems from the DTLZ, WFG, and CEC 2009 test suites...

Topics

Algorithms
Biological Evolution
Computer Simulation
Models, Theoretical
Mutation
Probability
Reproducibility of Results
Software

Source

Open in PubMed

Identifiers

PMID: 22385134
DOI: 10.1162/EVCO_a_00075

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