TY - CHAP
T1 - Chaotic Stochastic Paint Optimizer (CSPO)
AU - Khodadadi, Nima
AU - Mirjalili, Seyed Mohammad
AU - Mirjalili, Seyedeh Zahra
AU - Mirjalili, Seyedali
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Optimization of engineering problems requires addressing several common difficulties in the optimization problem, including but not limited to a large number of decision variables, multiple often conflicting objectives, constraints, locally optimal solutions, and expensive objective functions. It is pretty common that an algorithm performs very well on test functions but struggles when applying to real-world problems. This paper proposes a chaotic version of the recently proposed algorithm called chaotic stochastic paint optimizer (CSPO). A comparative study with other meta-heuristics demonstrates the merits of this algorithm and the change applied in this work.
AB - Optimization of engineering problems requires addressing several common difficulties in the optimization problem, including but not limited to a large number of decision variables, multiple often conflicting objectives, constraints, locally optimal solutions, and expensive objective functions. It is pretty common that an algorithm performs very well on test functions but struggles when applying to real-world problems. This paper proposes a chaotic version of the recently proposed algorithm called chaotic stochastic paint optimizer (CSPO). A comparative study with other meta-heuristics demonstrates the merits of this algorithm and the change applied in this work.
KW - Chaotic stochastic paint optimizer
KW - Engineering problems
KW - Optimization
KW - Stochastic paint optimizer
UR - http://www.scopus.com/inward/record.url?scp=85137570107&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-2948-9_19
DO - 10.1007/978-981-19-2948-9_19
M3 - Chapter
AN - SCOPUS:85137570107
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 195
EP - 205
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -