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On the Performance Significance of Boundary Strategies for Firefly Algorithm

机译:萤火虫算法边界策略的性能意义

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In this paper, a comparison of a few selected boundary strategies are presented for popular optimization Firefly Algorithm (FA). The problem of boundary constrained optimization was already extensively studied for well-known heuristic optimization Particle Swarm Optimization (PSO). This suggesting importance for similar research for other swarm-based algorithms, like FA. Also, the simple measurement on the tendency of FA particle to violate defined boundaries is presented as well. The recent CEC 17 benchmark suite is used for the performance comparison of the methods and the results are compared and tested for statistical significance.
机译:在本文中,对流行的优化萤火虫算法(FA)的几种选定边界策略进行了比较。对于著名的启发式优化粒子群算法(PSO),已经广泛研究了边界约束优化问题。这表明对于其他基于群体的算法(如FA)进行类似研究的重要性。此外,还提出了关于FA颗粒违反定义边界的趋势的简单测量方法。最新的CEC 17基准套件用于方法的性能比较,并对结果进行比较并测试其统计显着性。

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