A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems

Area of Science:

• Computational Intelligence
• Optimization Algorithms
• Engineering Applications

Background:

• Engineering optimization problems often require algorithms with high accuracy and fast convergence.
• Existing meta-heuristic algorithms, like the Secretary Bird Optimization Algorithm (SBOA), may have limitations in complex problem-solving.
• Enhancing population diversity and search strategies is crucial for robust optimization performance.

Purpose of the Study:

• To develop an improved optimization algorithm, the Multi-Strategy Improved Secretary Bird Optimization Algorithm (MISBOA).
• To enhance the solving accuracy and convergence speed of the SBOA for engineering optimization tasks.
• To validate MISBOA's effectiveness on standard test suites and real-world engineering problems.

Main Methods:

• Incorporation of a feedback regulation mechanism using incremental PID control for population updates.
• Implementation of a golden sinusoidal guidance strategy in the hunting stage to improve capture success.
• Introduction of cooperative camouflage and cosine similarity-based update strategies in the escaping stage to maintain population diversity.

Main Results:

• MISBOA demonstrated superior comprehensive performance on the CEC2022 test suite at dimensions 10 and 20.
• MISBOA achieved first place on 10 out of 12 test functions (83.33%) as dimensionality increased, highlighting improved scalability.
• The algorithm exhibited best performance in fitness values for five real-world optimization problems, indicating enhanced accuracy and stability.

Conclusions:

• The integrated improvement strategies significantly enhance the search accuracy and stability of MISBOA.
• MISBOA offers a robust and efficient approach for tackling complex engineering optimization challenges.
• Application to combined quartic generalized Ball interpolation curve optimization resulted in smoother designs and improved power generation efficiency.