Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization

The Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the of standard HHO, alleviates problem stagnation local optimal solutions, improves search accuracy algorithm. main features algorithm define nonlinear escape energy weights combine with Furthermore, we prove computational complexity ARHHO Finally, performance our evaluated by comparison other well-known algorithms on 23 benchmark Experimental results show that performs better than compared most functions.