A Multi-Strategy Secretary Bird Optimization Algorithm for Aesthetic Color and Layout Optimization in Visual Art Design

Description

Zhou and Cai improved a search algorithm modeled on the secretary bird, a long-legged hunter. Applied it to visual design problems such as harmonious color palettes and page layouts. Their 2026 study notes that design goals are bumpy, many-peaked mathematical landscapes where the algorithm loses diversity, settles too early, and balances wide search against fine-tuning poorly.

Zhou added three fixes: a even initial population that covers the search space uniformly, a lens-based trick that flips weaker solutions to escape local traps while keeping the elite. An adaptive mutation mixing two random patterns applied to the best solution. On the CEC2017 benchmark suite across four problem sizes, checked with three statistical tests against nine rival algorithms, the enhanced version converged faster and more stably to better solutions. It also beat the original and competitors on both design tasks, confirming its value for computational aesthetics.

Catalog record

Source: https://europepmc.org/article/MED/PMC13509559