This study aims to evolve an enhanced butterfly optimization algorithm (BOA) with respect to convergence and accuracy performance for numerous benchmark functions, rigorous constrained engineering design problems and an inverse synthetic aperture radar (ISAR) image motion compensation.,Adaptive BOA (ABOA) is thus developed by incorporating spatial dispersal strategy to the global search and inserting the fittest solution to the local search, and hence its exploration and exploitation abilities are improved.,The accuracy and convergence performance of ABOA are well verified via exhaustive comparisons with BOA and its existing variants such as improved BOA (IBOA), modified BOA (MBOA) and BOA with Levy flight (BOAL) in terms of various precise metrics through 15 classical and 12 conference on evolutionary computation (CEC)-2017 benchmark functions. ABOA has outstanding accuracy and stability performance better than BOA, IBOA, MBOA and BOAL for most of the benchmarks. The design optimization performance of ABOA is also evaluated for three constrained engineering problems such as welded beam design, spring design and gear train design and the results are compared with those of BOA, MBOA and BOA with chaos. ABOA, therefore, optimizes engineering designs with the most optimal variables. Furthermore, a validation is performed through translational motion compensation (TMC) of the ISAR image for an aircraft, which includes blurriness. In TMC, the motion parameters such as velocity and acceleration of target are optimally predicted by the optimization algorithms. The TMC results are elaborately compared with BOA, IBOA, MBOA and BOAL between each other in view of images, motion parameter and numerical image measuring metrics.,The outperforming results reflect the optimization and design successes of ABOA which is enhanced by establishing better global and local search abilities over BOA and its existing variants.

中文翻译：

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一种经过工程问题严格验证并应用于ISAR图像运动补偿的增强型自适应蝴蝶优化算法

在大多数基准测试中，ABOA 具有优于 BOA、IBOA、MBOA 和 BOAL 的突出准确性和稳定性性能。还针对焊接梁设计、弹簧设计和齿轮系设计等三个约束工程问题对ABOA的设计优化性能进行了评估，并将结果与​​BOA、MBOA和混沌BOA的结果进行了比较。因此，ABOA 使用最优化的变量来优化工程设计。此外，通过飞机 ISAR 图像的平移运动补偿 (TMC) 执行验证，其中包括模糊性。在TMC中，目标的速度和加速度等运动参数通过优化算法进行优化预测。TMC结果与BOA、IBOA、MBOA和BOAL之间根据图像进行了精心比较，