preprint · Zenodo (CERN European Organization for Nuclear Research) · 2026

Mouse Optimization Algorithm

Zhang, Jincheng

Cited by 0Open access

Abstract

Swarm intelligence optimization algorithms, as a global optimization method based on the simulation of biological swarm behavior, have wide applications in complex function optimization, path planning, combinatorial optimization, and engineering optimization. This paper proposes a novel swarm intelligence optimization algorithm—the Mouse Optimization Algorithm (MOA), inspired by the behavioral characteristics of mice searching for food in their natural environment, including olfactory search, exploration-utilization balance, swarm information sharing, and dynamic behavioral strategies. MOA abstracts the search behavior of a mouse swarm into a solution method for a continuous optimization problem through mathematical modeling and plain text formulas. The algorithm design incorporates multiple modules such as local search, global exploration, multi-neighbor information sharing, random jumping, and fitness pressure mechanisms, achieving an organic combination of intelligence, global search capability, and adaptive search strategies. This paper provides a detailed analysis of the core mechanisms of the MOA algorithm and describes its update rules and dynamic strategies using mathematical formulas, providing a basic framework for further theoretical research and engineering applications.

Cite this paper

APA 7

Zhang, J. (2026). Mouse Optimization Algorithm. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.18180463

MLA 9

Zhang, Jincheng. “Mouse Optimization Algorithm.” Zenodo (CERN European Organization for Nuclear Research), 2026, https://doi.org/10.5281/zenodo.18180463.

Chicago

Zhang, Jincheng. 2026. “Mouse Optimization Algorithm.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.18180463.

Harvard

Zhang, J. (2026) ‘Mouse Optimization Algorithm’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.18180463.

BibTeX

@misc{zhang2026mouse,
  title = {{Mouse Optimization Algorithm}},
  author = {Zhang, Jincheng},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year = {2026},
  doi = {10.5281/zenodo.18180463}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.