New generation of metaheuristics by inspiration from ancient

摘要: Recently, the development of new metaheuristic algorithms has become very expansive. This expansion is especially evident in category nature-inspired algorithms. Nature indeed source solution many problems, but developed this used almost same procedure for optimization. Before algorithms, evolutionary-based were introduced. It seems that there a need some kind change area. can be found generation algorithm inspired by ancient era. Ancient inspiration brings together all positive aspects nature and evolution. paper discusses applications ancient-inspired Giza Pyramids Construction (GPC) compared to Emperor Penguins Colony (EPC) algorithm. Applications discussed include improving k-means clustering optimizing neuro-fuzzy system. Results from experiments show GPC performed superior more efficiently than other sources inspiration.