Dependent-chance goal programming and its genetic algorithm based approach
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Publication:1381760
DOI10.1016/0895-7177(96)00125-2zbMath0895.90165OpenAlexW1991357966WikidataQ126570613 ScholiaQ126570613MaRDI QIDQ1381760
Publication date: 20 September 1998
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0895-7177(96)00125-2
Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05) Stochastic programming (90C15) Management decision making, including multiple objectives (90B50)
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Uses Software
Cites Work
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- A gradient algorithm for chance constrained nonlinear goal programming
- Multiple objective decision making - methods and applications. A state- of-the-art survey. In collaboration with Sudhakar R. Paidy and Kwangsun Yoon
- Nonlinear goal programming theory and practice: A survey
- A Stochastic Approach to Goal Programming
