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On the Performance Significance of Boundary Strategies for Firefly Algorithm

机译:论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:本文介绍了几个选定的边界策略的比较,用于流行优化Firefly算法(FA)。对众所周知的启发式优化粒子群优化(PSO)进行了广泛的限制优化问题。这表明对其他基于群体的算法类似研究的重要性,如FA。此外,还提出了对FA粒子倾向于违反定义边界的简单测量。最近的CEC 17基准套件用于对方法进行性能比较,并进行比较和测试统计显着性。

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