Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?
摘要
A multitude of techniques for problem-solving are now available due to the overabundance of metaheuristic algorithms in the stochastic search landscape. Finding the right balance between exploration and exploitation is essential for the best algorithmic performance, but it's still difficult to pinpoint exactly where this equilibrium should lie.