Chaotic Stochastic Paint Optimizer (CSPO)

被引：6

作者：

Khodadadi, Nima ^{[1
]}

Mirjalili, Seyed Mohammad ^{[2
]}

Mirjalili, Seyedeh Zahra ^{[3
]}

Mirjalili, Seyedali ^{[3
,4
]}

机构：

[1] Florida Int Univ, Dept Civil & Environm Engn, Miami, FL 33199 USA

[2] Polytech Montreal, Dept Engn Phys, Montreal, PQ, Canada

[3] Torrens Univ Australia, Ctr Artificial Intelligence Res & Optimisat, Brisbane, Qld, Australia

[4] Yonsei Univ, Yonsei Frontier Lab, Seoul, South Korea

来源：

PROCEEDINGS OF 7TH INTERNATIONAL CONFERENCE ON HARMONY SEARCH, SOFT COMPUTING AND APPLICATIONS (ICHSA 2022) | 2022年 / 140卷

关键词：

Stochastic paint optimizer; Optimization; Engineering problems; Chaotic stochastic paint optimizer; ALGORITHM;

D O I：

10.1007/978-981-19-2948-9_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：195 / 205

页数：11

共 34 条

[1] Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems [J].

Abdollahzadeh, Benyamin ;

Gharehchopogh, Farhad Soleimanian ;

Mirjalili, Seyedali .

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 36 (10) :5887-5958

[2] African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems [J].

Abdollahzadeh, Benyamin ;

Gharehchopogh, Farhad Soleimanian ;

Mirjalili, Seyedali .

COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 158

[3]

Bucolo M., 2002, IEEE Circuits and Systems Magazine, V2, P4, DOI 10.1109/MCAS.2002.1167624

[4] Symbiotic Organisms Search: A new metaheuristic optimization algorithm [J].

Cheng, Min-Yuan ;

Prayogo, Doddy .

COMPUTERS & STRUCTURES, 2014, 139 :98-112

[5]

Chickermane H, 1996, INT J NUMER METH ENG, V39, P829, DOI 10.1002/(SICI)1097-0207(19960315)39:5<829::AID-NME884>3.0.CO

[6]

2-U

[7] Use of a self-adaptive penalty approach for engineering optimization problems [J].

Coello, CAC .

COMPUTERS IN INDUSTRY, 2000, 41 (02) :113-127

[8]

Devaney Robert, 2018, An introduction to chaotic dynamical systems

[9] A new heuristic optimization algorithm: Harmony search [J].

Geem, ZW ;

Kim, JH ;

Loganathan, GV .

SIMULATION, 2001, 76 (02) :60-68

[10] Chaotic characteristics of a one-dimensional iterative map with infinite collapses [J].

He, D ;

He, C ;

Jiang, LG ;

Zhu, HW ;

Hu, GR .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2001, 48 (07) :900-906

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