This metaheuristic algorithm improves exploration and exploitation balance in optimization problems, suggesting its effectiveness in real-world applications.
Key Points
ECO achieves global optimum by simulating ecological processes, enhancing stability and balance.
Performance evaluation shows ECO outperforms five notable algorithms across various optimization tasks.
Comprehensive experiments on multiple test suites confirm the effectiveness of ECO in addressing complex optimization challenges.
Further validation against state-of-the-art algorithms highlights ECO's comparable performance in engineering problems.