Improvement analysis and application of real-coded genetic algorithm for solving constrained optimization problems
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Publication:1721125
DOI10.1155/2018/5760841zbMath1427.90304OpenAlexW2806848913WikidataQ129729267 ScholiaQ129729267MaRDI QIDQ1721125
Zhigui Dong, Okan K. Ersoy, Panli Zhang, Weiting Dai, Jiquan Wang, Zhi-Wen Cheng
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/5760841
Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
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- Aerospace design optimization using a steady state real-coded genetic algorithm
- A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization
- A new mutation operator for real coded genetic algorithms
- A modified genetic algorithm for optimal control problems
- Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms
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