摘要：In order to remedy the poor exploitation of the krill herd algorithm (KHA), a breed cuckoo
search and KHA (CS-KHA) technique have been developed for the optimal power flow (OPF)
problem. The proposed CS-KHA presents krill updating (KU) and krill abandoning (KA)
operator derived from cuckoo search (CS) amid the procedure when the krill updating in order
to extraordinarily improve its adequacy and dependability managing OPF problem. OPF is
formulated as a nonlinear optimization problem with conflicting objectives and subjected to both
equality and inequality constraints. This paper looks at CSKHA for solving non-convex and
non-smooth OPF problem. The viability of these enhancements is tested on standard two
standard test systems called IEEE 57-bus and IEEE 118-bus with five case studies.
Experimental results appear, in all cases, this proposed hybrid meta-heuristic CSKHA is more
and effective than the original CS, KHA, as well as other methods in the literature.
