A solution to bi/tri-level programming problems using particle swarm optimization

DOI10.1016/j.ins.2016.08.022zbMath1428.90181OpenAlexW2477392334MaRDI QIDQ2282140

Jialin Han, Yaoguang Hu, Jie Lu, Guang-Quan Zhang

Publication date: 6 January 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10453/55170

zbMATH Keywords

computational intelligenceparticle swarm optimizationbi-level programmingmultilevel decision-makingtri-level programming

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (7)

A multiple objective programming approach to linear bilevel multi-follower programming ⋮ Multi-parametric global optimization approach for tri-level mixed-integer linear optimization problems ⋮ Consensus mechanism with maximum-return modifications and minimum-cost feedback: a perspective of game theory ⋮ Multi-period portfolio selection with dynamic risk/expected-return level under fuzzy random uncertainty ⋮ Tri-level mixed-binary linear programming: solution approaches and application in defending critical infrastructure ⋮ Tri-level decision-making for decentralized vendor-managed inventory ⋮ Bilevel Optimization: Theory, Algorithms, Applications and a Bibliography

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