A Novel Jackson’s Widowbird Mating Optimization Algorithm

Ritu Raj Sharma, Partha Ghosh
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Abstract

In this paper a novel nature-inspired metaheuristic algorithm named as Jackson’s Widowbird Mating Optimization (JWMO) is proposed. The proposed algorithm is influenced by the mating behavior of Jackson’s Widowbird. Courtship rituals performed by male bird are used to develop the algorithm. The main objective of the proposed model is to obtain best possible solution of any given optimization problem. The algorithm is tested with a number of benchmark functions. To show the effectiveness of the algorithm, it is compared with other popular metaheuristic algorithms. Experimental results indicate that JWMO gives better performance.
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小说杰克逊的寡妇鸟交配优化算法
本文提出了一种新的自然启发的元启发式算法Jackson 's寡妇鸟交配优化(JWMO)。该算法受杰克逊寡妇鸟交配行为的影响。利用雄性鸟类的求偶仪式来开发算法。提出的模型的主要目标是获得任何给定优化问题的最佳可能解。该算法用多个基准函数进行了测试。为了证明该算法的有效性,将其与其他流行的元启发式算法进行了比较。实验结果表明,JWMO具有较好的性能。
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