Balance space in airport construction: Application to the North Sea island option for Schiphol Airport

DOI10.1016/S0895-7177(02)00047-XzbMath0993.90100OpenAlexW1980754808MaRDI QIDQ1609408

Efim A. Galperin

Publication date: 15 August 2002

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0895-7177(02)00047-x

zbMATH Keywords

decision-makinglevel setsPareto solutionbalance setmultiobjetive optimization

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29)

Related Items (7)

Sensitivity of Pareto solutions in multiobjective optimization ⋮ Goal-optimal Pareto solution of multiobjective linear programs and its computing with standard single objective LP software ⋮ Box-triangular multiobjective linear programs for resource allocation with application to load management and energy market problems. ⋮ Non-causal models in long term planning via set contractive optimal control methods ⋮ Balance set and Pareto solutions in linear space with application to ongoing optimal resource allocation, investment planning, production, and control problems with multiple objectives ⋮ Open design methodology in governmental decision making: the case of Schiphol Airport, Amsterdam ⋮ Set contraction algorithm for computing Pareto set in nonconvex nonsmooth multiobjective optimization

Cites Work

• Unnamed Item
• Nonscalarized multiobjective global optimization
• Pareto analysis vis-à-vis balance space approach in multiobjective global optimization
• Equivalence of balance points and Pareto solutions in multiple-objective programming
• Retrieval and use of the balance set in multiobjective global optimization
• Duality of nonscalarized multiobjective linear programs: dual balance, level sets, and dual clusters of optimal vectors.

This page was built for publication: Balance space in airport construction: Application to the North Sea island option for Schiphol Airport