An interactive fuzzy satisficing method for multiobjective nonlinear integer programming problems with block-angular structures through genetic algorithms with decomposition procedures

DOI10.1155/2009/372548zbMath1198.90242OpenAlexW2052926068WikidataQ58647085 ScholiaQ58647085MaRDI QIDQ606178

Masatoshi Sakawa, Kosuke Kato

Publication date: 16 November 2010

Published in: Advances in Operations Research (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/232058

Mathematics Subject Classification ID

Integer programming (90C10) Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50)

Uses Software

• Genocop

Cites Work

• A partial enumeration algorithm for pure nonlinear integer programming
• Computing aviation sparing policies: solving a large nonlinear integer program
• Computing exact solution to nonlinear integer programming: convergent Lagrangian and objective level cut method
• A discrete dynamic convexized method for nonlinear integer programming
• Fuzzy programming and linear programming with several objective functions
• Fuzzy programming for multiobjective 0-1 programming problems through revised genetic algorithms
• Large scale interactive fuzzy multiobjective programming
• A variable-grouping based genetic algorithm for large-scale integer programming
• Convergence of Methods for Nonlinear Eigenvalue Problems
• A specially structured nonlinear integer resource allocation problem
• Introduction to evolutionary computing
• Genetic algorithms and fuzzy multiobjective optimization
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