Enhanced Cuckoo Intelligence Search Algorithm

Abstract

Cuckoo Search (CS) algorithm is a meta-heuristic technique that displays several merits. For example, it is easier to apply and less tuning parameters also, it is suitable for solving optimization problems. However, easily fall into local optimum has been established and has a slow convergence rate as a result of the cuckoo search parameters being kept constant. Therefore to handle this issue, an Enhanced Cuckoo Intelligence Search (ECIS) algorithm was developed which is an upgraded CS algorithm. The efficiency of ECIS was tested by some benchmark constrained optimization test functions and it was shown that ECIS gives a better optimal value than CS.

A Review of Metaheuristic Optimization Techniques for Effective Energy Conservation in Buildings

“…The CuSA introduces an innovative approach to building energy conservation by maintaining a nuanced equilibrium between global exploration and local exploitation [86]. This innovative strategy reflects deep thinking in its ability to efficiently explore a diverse solution space while strategically refining solutions in promising regions, addressing the intricacies of energy optimization within building systems.…”