The Chimp optimization algorithm (ChoA) inspired by the individual intelligence and sexual motivation of chimps in their group hunting, which is separate from the another social predators. Generally, it is developed for trapping in local optima on the complex functions and alleviate the slow convergence speed. This algorithm has been widely applied to find the best optima solutions of complex global optimization tasks due to its simplicity and inexpensive computational overhead. Nevertheless, premature convergence is easily trapped in the local optimum solution during search process and is ineffective in balancing exploitation and exploration. In this paper, we have developed a modified novel nature inspired optimizer algorithm based on the sine–cosine functions; it is called as sine–cosine chimp optimization algorithm (SChoA). During this research, the sine–cosine functions have been applied to update the equations of chimps during the search process for reducing the several drawbacks of the ChoA algorithm such as slow convergence rate, locating local minima rather than global minima, and low balance amid exploitation and exploration. Experimental solutions based on 23-standard benchmark and 06 engineering functions such as welded beam, tension/compression spring, pressure vessel, multiple disk clutch brake, planetary gear train and digital filters design, etc. demonstrate the robustness, effectiveness, efficiency, and convergence speed of the proposed algorithm in comparison with others.

黑猩猩最优化算法（ChoA）受黑猩猩在集体狩猎中的个体智力和性动机的启发，与其他社会掠食者不同。通常，它是为陷入复杂函数的局部最优而开发的，并缓解了收敛速度慢的问题。由于其简单性和廉价的计算开销，该算法已被广泛应用于寻找复杂全局优化任务的最佳最优解。然而，过早的收敛很容易在搜索过程中陷入局部最优解中，并且在平衡开发和探索方面无效。在本文中，我们基于正弦余弦函数开发了一种经过修改的新颖的自然启发优化器算法。它被称为正弦余弦黑猩猩优化算法（SChoA）。在这项研究中，正弦余弦函数已被用于在搜索过程中更新黑猩猩的方程，以减少ChoA算法的若干缺点，例如收敛速度慢，定位局部最小值而不是全局最小值，以及在开发中的低平衡和探索。基于23个标准基准和06个工程功能的实验解决方案，例如焊接梁，拉伸/压缩弹簧，压力容器，多盘离合器制动器，行星齿轮系和数字滤波器设计等，证明了其鲁棒性，有效性，效率和收敛性与其他算法相比，所提算法的速度更快。正弦余弦函数已被用于在搜索过程中更新黑猩猩的方程，以减少ChoA算法的一些缺点，例如收敛速度慢，定位局部最小值而不是全局最小值，以及在开发和探索中的低平衡。基于23个标准基准和06个工程功能的实验解决方案，例如焊接梁，拉伸/压缩弹簧，压力容器，多盘离合器制动器，行星齿轮系和数字滤波器设计等，证明了其鲁棒性，有效性，效率和收敛性与其他算法相比，所提算法的速度更快。正弦余弦函数已被用于在搜索过程中更新黑猩猩的方程，以减少ChoA算法的一些缺点，例如收敛速度慢，定位局部最小值而不是全局最小值，以及在开发和探索中的低平衡。基于23个标准基准和06个工程功能的实验解决方案，例如焊接梁，拉伸/压缩弹簧，压力容器，多盘离合器制动器，行星齿轮系和数字滤波器设计等，证明了其鲁棒性，有效性，效率和收敛性与其他算法相比，所提算法的速度更快。