Function optimization and parameter performance analysis based on gravitation search algorithm

DOI10.3390/a9010003zbMath1461.90171OpenAlexW2209485854MaRDI QIDQ1736752

Jiang-Di Song, Jie-Sheng Wang

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a9010003

zbMATH Keywords

gravitational search algorithmfunction optimizationperformance comparison

Mathematics Subject Classification ID

Derivative-free methods and methods using generalized derivatives (90C56) Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• ABC
• GGSA
• WCA
• GSA

Cites Work

• Unnamed Item
• Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity
• A novel heuristic optimization method: charged system search
• GSA: A gravitational search algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Using River Formation Dynamics to Design Heuristic Algorithms

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