Carbon neutralization of land use and land cover (LULC) has become an important way for
countries to cope with future climate change. Existing studies focus on the quantification and …

We present a new hybrid approach to interactive evolutionary multi-objective optimization
that uses a partial preference order to act as the fitness function in a customized genetic …

Interactive methods are useful and realistic multiobjective optimization techniques and, thus,
many such methods exist. However, they have two important drawbacks when using them in …

Learning is inherently connected with Interactive Multiobjective Optimization (IMO),
therefore, a systematic analysis of IMO from the learning perspective is worthwhile. After an …

Data envelopment analysis (DEA) is a performance measurement tool that was initially
developed without consideration of the decision maker (DM)'s preference structures. Ever …

In this paper, we present a new general formulation for multiobjective optimization that can
accommodate several interactive methods of different types (regarding various types of …

In this paper, we describe an interactive procedural algorithm for convex multiobjective
programming based upon the Tchebycheff method, Wierzbicki's reference point approach …

In the research area of multiple criteria decision making, very few publications exist that
explicitly design the simulation of a decision maker (DM) in an interactive approach. For this …

In this paper, we propose a new interactive method for multiobjective programming (MOP)
called the PROJECT method. Interactive methods in MOP are techniques that can help the …

In this paper, a multiobjective scheme is used to study the satisfaction levels of Spanish
workers. Data obtained from the European Community Household Panel (ECHP) are used …