Engineering optimization with particle swarm

By Xiaohui Hu, R. Eberhart, Yuhui Shi. Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), 2003

408 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/0b7c750f9bf6976e658fd84e899aca838c9b9260

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xin-She Yang
2. Amir H. Gandomi
3. Seyedali Mirjalili
4. Leandro dos S. Coelho
5. Amir Hossein Alavi
6. Seyed Mohammad Mirjalili
7. Arpan Kumar Kar
8. Alec Banks

In Computational Theory and Mathematics

1. Xin-She Yang
2. Amir H. Gandomi
3. Seyedali Mirjalili
4. Leandro dos S. Coelho
5. Amir Hossein Alavi
6. Seyed Mohammad Mirjalili
7. Arpan Kumar Kar
8. Wenjun Zhang

In Numerical Analysis

1. Amir H. Gandomi
2. Susana Cecilia Esquivel
3. Leticia Cecilia Cagnina
4. Carlos Artemio Coello Coello
5. Alec Banks
6. Leandro dos S. Coelho
7. Satoshi Kitayama
8. Wenjun Zhang

Citations in the corpus

• Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (2011, result): “The results obtained by Hu et al. [ 65 ] and Mezura-Montes et al. [76] also violate the first and third constrains, respectively.”
• A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications (2008, methodology): “Hu et al. (2003b) used PSO to solve some EO problems: the design of a pressure vessel, welded beam design, minimisation of the weight of a tension/compression spring and Himmelblau's non-linear optimization problem.”
• Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems (2010, methodology): “…(1998), who used cellular automata based on a genetic algorithm, Lin, Wang, and Hwang (1999), who proposed a hybrid differential evolution method, Hu, Eberhart, and Shi (2003), using particle swarm optimization, and Schmidt and Thierauf (2005), who applied a threshold accepting algorithm with…”
• DEPSO: hybrid particle swarm with differential evolution operator (2003, background): “It can be seen that the PSO is not stable [9], which may due to the step-type landscape created by integer variables.”
• Sequential Approximate Optimization using Radial Basis Function network for engineering optimization (2011, positive): “Many researchers have used this as benchmark problem in the structural optimization [26,27,28].”
• Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer (2008, methodology): “One of the PSO-based approaches compared [16] used three of the problems adopted here (E01, E02 and E04), performing 200,000 objective function evaluations.”
• Using Augmented Lagrangian Particle Swarm Optimization for Constrained Problems in Engineering (2009, methodology): “Some examples for engineering applications using particle swarm optimization can be found in Hu et al. (2003) , in Schutte and Groenwold (2003), or in Sedlaczek and Eberhard (2004, 2005).”