【优化求解】基于乌燕鸥算法STOA求解最优目标matlab
代码
1 简介
乌燕鸥优化算法是由 G. Dhiman 和 A.Kaur于 2019 年针对工业工程问题提出的一种新的优化算法，其
灵感来源于海鸟在自然界中觅食的行为，乌燕鸥是杂食性鸟类,以蚯蚓、昆虫、鱼等食物为生。
This paper presents a bio-inspired algorithm called Sooty Tern Optimization Algorithm (STOA) for
solvingconstrained industrial problems. The main inspiration of this algorithm is the migration
and attacking behaviorsof sea bird sooty tern in nature. These two steps are implemented and
mathematically modeled to emphasizeexploitation and exploration in a given search space. The
proposed algorithm is compared with nine wellknown bio-inspired algorithms over 44
benchmark test functions. The analysis of convergence behaviors andcomputational complexity
of the proposed algorithm have been evaluated. Furthermore, to demonstrate itsapplicability it is
then employed to solve six constrained industrial applications. The outcomes of experimentreveal
that the proposed algorithm is able to solve challenging constrained problems and is very
competitivecompared with other optimization algorithms.
