RDEx-CASK: Cauchy Mutation, Archive, and Stagnation Kick for RDEx-CSOP
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866914551522394112 |
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| author | Dikshant Chauhan, Dikshit Hao, Chen Trivedi, Anupam Kandath, Harikumar Jayavelu, Senthilnath |
| author_facet | Dikshant Chauhan, Dikshit Hao, Chen Trivedi, Anupam Kandath, Harikumar Jayavelu, Senthilnath |
| contents | We extend RDEx-CSOP with 3 changes that target stagnation & late-stage variance, plus minor parameter tuning. The second scale factor in the standard branch is sampled independently from a truncated Cauchy. A small feasible-only JADE-style archive (|A|_max = 50) is added & sampled with probability |A|/(|A|+|P|). Per-individual stagnation counter triggers, after 180 no-improvement generations, three local overrides on standard branch: pull toward the global best, lift the archive sampling floor to 0.65, & saturate CR to 0.95 when population success rate is below 0.10. The exploitation biased branch & every other RDEx component are left untouched. On CEC CSOP suite (D=30, 25 runs), RDEx-CASK is competitive with RDEx, UDE-III, & CL-SRDE in feasibility-aware quality & improves time-to-target on most problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_09652 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | RDEx-CASK: Cauchy Mutation, Archive, and Stagnation Kick for RDEx-CSOP Dikshant Chauhan, Dikshit Hao, Chen Trivedi, Anupam Kandath, Harikumar Jayavelu, Senthilnath Neural and Evolutionary Computing Artificial Intelligence 90C30, 90C59 I.2.8; G.1.6 We extend RDEx-CSOP with 3 changes that target stagnation & late-stage variance, plus minor parameter tuning. The second scale factor in the standard branch is sampled independently from a truncated Cauchy. A small feasible-only JADE-style archive (|A|_max = 50) is added & sampled with probability |A|/(|A|+|P|). Per-individual stagnation counter triggers, after 180 no-improvement generations, three local overrides on standard branch: pull toward the global best, lift the archive sampling floor to 0.65, & saturate CR to 0.95 when population success rate is below 0.10. The exploitation biased branch & every other RDEx component are left untouched. On CEC CSOP suite (D=30, 25 runs), RDEx-CASK is competitive with RDEx, UDE-III, & CL-SRDE in feasibility-aware quality & improves time-to-target on most problems. |
| title | RDEx-CASK: Cauchy Mutation, Archive, and Stagnation Kick for RDEx-CSOP |
| topic | Neural and Evolutionary Computing Artificial Intelligence 90C30, 90C59 I.2.8; G.1.6 |
| url | https://arxiv.org/abs/2605.09652 |