Global optimization problems are mostly solved using search methods. Therefore, decreasing the search space can increase the efficiency of their solving. A widely exploited technique to reduce the search space is symmetry-breaking, which helps impose constraints on breaking existing symmetries. The present article deals with the airflow control optimization problem in an oscillating-water-column using the Particle Swarm Optimization (PSO). In an effort to ameliorate the efficiency of the PSO search, a symmetry-breaking technique has been implemented. The results of optimization showed that shrinking the search space helped to reduce the search time and ameliorate the efficiency of the PSO algorithm.

中文翻译：

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振荡水柱系统气流控制优化的对称破坏

全局优化问题大多使用搜索方法解决。因此，减小搜索空间可以提高求解效率。一种被广泛利用的减少搜索空间的技术是对称破坏，它有助于对破坏现有对称性施加约束。本文使用粒子群优化 (PSO) 处理振荡水柱中的气流控制优化问题。为了提高 PSO 搜索的效率，已经实施了对称破坏技术。优化结果表明，缩小搜索空间有助于减少搜索时间，提高PSO算法的效率。