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Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment

2019 doctoral thesis by Deepak Karunakaran at Victoria University of Wellington
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Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment

Summary

Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment is a doctoral thesis[1].

Key Facts

  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment authored Deepak Karunakaran[2].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's instance of is recorded as doctoral thesis[3].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's publisher is recorded as Open Access Repository Victoria University of Wellington[4].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's DOI is recorded as 10.26686/WGTN.17142200[5].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's language of work or name is recorded as English[6].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's language of work or name is recorded as New Zealand English[7].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's country of origin is recorded as New Zealand[8].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's publication date is recorded as +2019-01-01T00:00:00Z[9].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's main subject is recorded as genetic programming[10].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's title is recorded as Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment[11].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's copyright holder is recorded as Deepak Karunakaran[12].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's thesis submitted to is recorded as Victoria University of Wellington[13].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's on focus list of Wikimedia project is recorded as NZThesisProject[14].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's copyright status is recorded as copyrighted[15].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's thesis committee member is recorded as Xiaoying Gao[16].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's thesis committee member is recorded as Mengjie Zhang[17].
  • Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's thesis committee member is recorded as Aaron Chen[18].

Body

Designation and Status

Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment's instance of is recorded as doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . doi.org. doi.org. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment. Retrieved May 3, 2026, from https://4ort.xyz/entity/active-learning-methods-for-dynamic-job-shop-scheduling-using-genetic-programming-under-uncertain-environment
MLA “Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/active-learning-methods-for-dynamic-job-shop-scheduling-using-genetic-programming-under-uncertain-environment.
BibTeX @misc{4ortxyz_active-learning-methods-for-dynamic-job-shop-scheduling-using-genetic-programming-under-uncertain-environment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment}}, year = {2026}, url = {https://4ort.xyz/entity/active-learning-methods-for-dynamic-job-shop-scheduling-using-genetic-programming-under-uncertain-environment}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment — https://4ort.xyz/entity/active-learning-methods-for-dynamic-job-shop-scheduling-using-genetic-programming-under-uncertain-environment (retrieved 2026-05-03)

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