TY - CHAP
T1 - Whale optimization algorithm
T2 - Theory, literature review, and application in designing photonic crystal filters
AU - Mirjalili, Seyedehzahra
AU - Mirjalili, Seyed Mohammad
AU - Saremi, Shahrzad
AU - Mirjalili, Seyedali
AU - Mirjalili, Seyedehzahra
PY - 2020/1/1
Y1 - 2020/1/1
N2 - This chapter presents and analyzes the Whale Optimization Algorithm. The inspiration of this algorithm is first discussed in details, which is the bubble-net foraging behaviour of humpback whales in nature. The mathematical models of this algorithm is then discussed. Due to the large number of applications, a brief literature review of WOA is provided including recent works on the algorithms itself and its applications. The chapter also tests the performance of WOA on several test functions and a real case study in the field of photonic crystal filter. The qualitative and quantitative results show that merits of this algorithm for solving a wide range of challenging problems.
AB - This chapter presents and analyzes the Whale Optimization Algorithm. The inspiration of this algorithm is first discussed in details, which is the bubble-net foraging behaviour of humpback whales in nature. The mathematical models of this algorithm is then discussed. Due to the large number of applications, a brief literature review of WOA is provided including recent works on the algorithms itself and its applications. The chapter also tests the performance of WOA on several test functions and a real case study in the field of photonic crystal filter. The qualitative and quantitative results show that merits of this algorithm for solving a wide range of challenging problems.
UR - http://www.scopus.com/inward/record.url?scp=85061298923&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-12127-3_13
DO - 10.1007/978-3-030-12127-3_13
M3 - Chapter
AN - SCOPUS:85061298923
T3 - Studies in Computational Intelligence
SP - 219
EP - 238
BT - Studies in Computational Intelligence
PB - Springer Verlag
ER -