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An improved fireworks algorithm with landscape information for balancing exploration and exploitation

机译：一种改进的具有景观信息的烟火算法，用于平衡勘探与开发

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摘要

Fireworks algorithm is a newly risen and developing swarm intelligence algorithm, the performance of which is determined by the tradeoff between exploration and exploitation. How to develop a satisfactory weight for exploration and exploitation is an interesting and challenging work. In this paper, the landscapes of optimization problem are firstly analyzed, and then a new sparks explosion strategy is designed to represent and mine the landscape information. Moreover, the exploration and exploitation coexist in the improved fireworks algorithm, which can automatically adjust the search strategies according to landscape structure. Finally, numerical experiments are performed for the algorithms investigations, performance analysis, and comparisons. The simulation results indicate that the proposed algorithm has a significant performance on all the test functions and can achieve the global minimum for most test functions.
机译：Fireworks算法是一种新兴的群体智能算法，其性能取决于勘探与开发之间的权衡。如何为勘探和开发开发令人满意的砝码是一项有趣且具有挑战性的工作。本文首先对景观优化问题进行了分析，然后设计了一种新的火花爆炸策略来表示和挖掘景观信息。此外，改进的烟火算法还可以同时进行勘探和开发，可以根据景观结构自动调整搜索策略。最后，进行了数值实验，以进行算法研究，性能分析和比较。仿真结果表明，该算法在所有测试功能上均具有显着的性能，并且对于大多数测试功能可以达到全局最小值。

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