ISI-OPT: A Personality-Inspired Metaheuristic Optimization Algorithm Based on the Characteristics of Empress Elisabeth of Austria
DOI:
https://doi.org/10.7492/r9jxsj11Keywords:
Metaheuristic optimization, personality-inspired algorithms, Sisi of Austria, adaptive exploration, benchmark functionsAbstract
This study proposes a novel metaheuristic optimization algorithm inspired by the personal characteristics and life
philosophy of Empress Elisabeth of Austria (Sisi). Known for her independence, adaptability, aesthetic sensitivity, and
continuous self-renewal, Sisi’s behavioral patterns are mathematically modeled to guide the search dynamics of an
optimization process. The proposed algorithm, named SISI-OPT, integrates adaptive exploration, graceful exploitation, and
periodic re-diversification mechanisms. The algorithm is evaluated on a quadratic minimization problem and five wellknown benchmark functions. Its performance is further compared with Migrating Birds Optimization (MBO), Particle
Swarm Optimization (PSO), and Artificial Bee Colony (ABC) in terms of solution accuracy and computational time. Numerical results
demonstrate that SISI-OPT achieves competitive or superior performance while maintaining stable convergence behavior
