Dynamic function optimisation is an important research area because many
real-world problems are inherently dynamic in nature. Over the years, a wide
variety of algorithms have been proposed to solve dynamic optimisation problems,
and many of these algorithms have used the Moving Peaks (MP) benchmark to test
their own capabilities against other approaches. This paper presents a detailed
account of... hiện toàn bộ
Thanh Pham Dinh, Binh Huynh Thi Thanh, Trung Tran Ba, Long Nguyen Binh
The Multifactorial Evolutionary Algorithm (MFEA) has emerged as an effective
variant of the evolutionary algorithm. MFEA has been successfully applied to
deal with various problems with many different types of solution encodings.
Although clustered tree problems play an important role in real life, there
haven’t been much research on exploiting the strengths of MFEA to solve these
problems. One of... hiện toàn bộ