Termite life cycle optimizer

This paper introduces a novel bio-inspired meta-heuristic optimization algorithm, named termite life cycle optimizer (TLCO), which is based both on the of colony and modulation movement strategies used by many animal species in nature. Termite colonies are comprised three distinct castes: workers, soldiers reproductive termites. Each caste undertakes set specific tasks that ensure growth survival colony. TLCO mimics activities these castes implemented mathematical model. The model then to find global optimum classic problems. First, behaviors termites simulate balance between exploration exploitation. Second, initial population securely records information obtained at each iteration transmits it workers next iteration. process repeated until found with smallest error. Besides, new proposed function combined Lévy flight modulate increases its flexibility. Thus, can cover long distances during first iterations improve convergence rate shorter last enhance level accuracy. We compare performances other well-known nature-inspired algorithms using 23 classical benchmark functions, CEC2005 five real engineering design results demonstrate effectiveness reliability solving