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Improved fireworks algorithm with information exchange for function optimization
- Source :
- Knowledge-Based Systems. 163:82-90
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- The fireworks algorithm, which is inspired by the explosion of fireworks, is a new swarm-based meta-heuristic algorithm for global optimization. This work proposes an improved fireworks optimization algorithm (IFWA) based on the enhanced fireworks algorithm (EFWA). Three aspects of improvement are presented after an analysis of the drawbacks of EFWA. These improvements are a new explosion scheme, GS-Gaussian explosion operator, and deep information exchange strategy. The proposed IFWA is tested on 23 benchmark function optimization problems and a real engineering problem, namely, optimal controller design for automotive active suspension. Optimization results prove that IFWA has competitive advantage compared with EFWA and other popular meta-heuristic algorithms and demonstrates the potential to solve real problems effectively.
- Subjects :
- Mathematical optimization
Information Systems and Management
Function optimization
Computer science
Swarm behaviour
02 engineering and technology
Management Information Systems
Operator (computer programming)
Artificial Intelligence
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Benchmark (computing)
020201 artificial intelligence & image processing
Global optimization
Software
Information exchange
Subjects
Details
- ISSN :
- 09507051
- Volume :
- 163
- Database :
- OpenAIRE
- Journal :
- Knowledge-Based Systems
- Accession number :
- edsair.doi...........b616083c9f45d085f2446ad52de2f7da