A novel hybrid algorithm for solving multiobjective optimization problems with engineering applications

DOI10.1155/2018/5316379zbMath1427.90247OpenAlexW2787036899MaRDI QIDQ1721077

Tao Xu, Huan Liu, Tatsuo Yoshino, Ye Lin, Lulu Fan

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/5316379

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• Matlab
• Genetic Algorithm and Direct Search Toolbox

Cites Work

• A hybrid evolutionary graph-based multi-objective algorithm for layout optimization of truss structures
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• Quasi-Newton's method for multiobjective optimization
• An enhanced differential evolution based algorithm with simulated annealing for solving multiobjective optimization problems
• Proper efficiency and the theory of vector maximization
• On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems
• Newton's Method for Multiobjective Optimization
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