Projection and relaxation techniques are employed to decompose a multiobjective problem into a two-level structure. The basic manipulation consists in projecting the decision variables onto the space of the implicit tradeoffs, allowing the definition of a relaxed multiobjective master problem directly in the objective space. An additional sub-problem tests the feasibility of the solution encountered by the relaxed problem. Some properties of the relaxed problem (linearity, small number of variables, etc.) render its solution efficient by a number of methods. Representatives of two different classes of multiobjective methods [the Geoffrion, Dyer, Feinberg (GDF) method and the fuzzy method of Baptistella and Ollero] are implemented and applie...
We develop an interactive approach for multiobjective decision-making problems, where the solution s...
Planning and management of urban water supply headworks systems is a complex task which gives rise t...
Fuzzy multiobjective programming for a deterministic case involves maximizing the minimum goal satis...
A relaxation procedure for multiobjective optimization is derived by projecting the decision variabl...
This research develops an algorithm for solving a class of multiple objective decision problems. The...
With the increasing scarcity of water resources, the growing importance of the optimization operatio...
This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical st...
Optimization is used for finding one or mo re optimal or feasible solutions for single and multiple ...
© Springer Science + Business Media, LLC 2008. Multi-objective linear programming (MOLP) techniques ...
University of Technology, Sydney. Faculty of Information Technology.NO FULL TEXT AVAILABLE. Access i...
The problem of model choice in multiobjective decision making, that is, the selection of the appropr...
For a multireservoir system, where the number of reservoirs is large, the conventional modelling by ...
This paper presents two new approaches for transforming a single-objective problem into a multi-obje...
[[abstract]]Multi-level programming techniques are developed to solve decentralized planning problem...
In the paper an approach to decision making in situations with non-pointlike characterisation and su...
We develop an interactive approach for multiobjective decision-making problems, where the solution s...
Planning and management of urban water supply headworks systems is a complex task which gives rise t...
Fuzzy multiobjective programming for a deterministic case involves maximizing the minimum goal satis...
A relaxation procedure for multiobjective optimization is derived by projecting the decision variabl...
This research develops an algorithm for solving a class of multiple objective decision problems. The...
With the increasing scarcity of water resources, the growing importance of the optimization operatio...
This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical st...
Optimization is used for finding one or mo re optimal or feasible solutions for single and multiple ...
© Springer Science + Business Media, LLC 2008. Multi-objective linear programming (MOLP) techniques ...
University of Technology, Sydney. Faculty of Information Technology.NO FULL TEXT AVAILABLE. Access i...
The problem of model choice in multiobjective decision making, that is, the selection of the appropr...
For a multireservoir system, where the number of reservoirs is large, the conventional modelling by ...
This paper presents two new approaches for transforming a single-objective problem into a multi-obje...
[[abstract]]Multi-level programming techniques are developed to solve decentralized planning problem...
In the paper an approach to decision making in situations with non-pointlike characterisation and su...
We develop an interactive approach for multiobjective decision-making problems, where the solution s...
Planning and management of urban water supply headworks systems is a complex task which gives rise t...
Fuzzy multiobjective programming for a deterministic case involves maximizing the minimum goal satis...