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Abstract
This paper presents a framework for systematically investigating and designing fuzzy rulesets for Adaptive Fuzzy Particle Swarm Optimization (AFPSO) algorithms. Training is achieved through Gaussian Process (GP) supported by Gradient Boosted Regression Trees (GBRT). Meta-objective was defined by ranks on various benchmark functions. Validation benchmarks were also performed on GECCO ’20 bound-constrained optimization competition. The resulting variants, particularly those controlling hybridization with Quantum Particle Swarm Optimization (QPSO) surpassed classical Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Differential Evolution (DE) on the training functions. Some level of generalization was also observed on most of the validation set.
Original language | English |
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Title of host publication | Proceedings of the Genetic and Evolutionary Computation Conference Companion |
Place of Publication | New York |
Publisher | ACM Press |
Pages | 207-208 |
Number of pages | 2 |
ISBN (Electronic) | 9781450383516 |
ISBN (Print) | 978-1-4503-8351-6 |
DOIs | |
Publication status | Published - 7 Jul 2021 |
Event | GECCO '21: Genetic and Evolutionary Computation Conference - Lille, France Duration: 10 Jul 2021 → 14 Jul 2021 Conference number: 21 |
Publication series
Name | GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion |
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Conference
Conference | GECCO '21: Genetic and Evolutionary Computation Conference |
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Abbreviated title | GECCO |
Country/Territory | France |
City | Lille |
Period | 10/07/21 → 14/07/21 |
Keywords
- particle swarm optimization
- meta-heuristics
- fuzzy control
- ACM proceedings
- heuristic
- GBRT
- PSO
Fingerprint
Dive into the research topics of 'Setup of fuzzy hybrid particle swarms: A heuristic approach'. Together they form a unique fingerprint.Projects
- 1 Finished
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CÉCI – Consortium of high performance computing centers
Champagne, B., Lazzaroni, R., Geuzaine , C., Chatelain, P. & Knaepen, B.
1/01/18 → 31/12/22
Project: Research
Equipment
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High Performance Computing Technology Platform
Benoît Champagne (Manager)
Technological Platform High Performance ComputingFacility/equipment: Technological Platform