arbiter
JournalsPricingAccount

Innovation-driven development path of the new energy industry based on immune optimisation and simulated annealing algorithm

Xiaosi Xu et al.

International Journal of Environment and Pollution2026https://doi.org/10.1504/ijep.2026.152510article
ABDC C
Weight
0.50

What the paper says

This study constructs a hybrid intelligent decision-making model that combines immune optimisation algorithm and simulated annealing algorithm to address challenges faced by innovative new energy industry systems, such as ambiguous path planning and suboptimal resource allocation.Comparative experiments have shown that in the product development cycle, the average task duration has been reduced from 43.6 days using traditional methods to 34.6 days, resulting in a 20.6% increase in efficiency.In terms of supply chain optimisation, for silicone suppliers, the efficiency of supplier identification process has increased by 34.5%, while for other key raw material suppliers, the average search time has been reduced by 36%.This model combines the 'global search capability' of immune algorithms with the 'local optimisation' of simulated annealing, effectively balancing technological innovation and market efficiency, providing a scientific path planning and decision support tool for innovation driven development in the new energy industry.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijep.2026.152510

Or copy a formatted citation

@article{xiaosi2026,
  title        = {{Innovation-driven development path of the new energy industry based on immune optimisation and simulated annealing algorithm}},
  author       = {Xiaosi Xu et al.},
  journal      = {International Journal of Environment and Pollution},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijep.2026.152510},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Innovation-driven development path of the new energy industry based on immune optimisation and simulated annealing algorithm

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.