Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …

For real-world problems, the task of decision-makers is to identify a solution that can satisfy a
set of performance criteria, which are often in conflict with each other. Multi-objective …

Problems with multiple objectives and criteria are generally known as multiple criteria
optimization or multiple criteria decision-making (MCDM) problems. So far, these types of …

This paper is an update of a paper that five of us published in 1992. The areas of multiple
criteria decision making (MCDM) and multiattribute utility theory (MAUT) continue to be …

We propose a steepest descent method for unconstrained multicriteria optimization and a
“feasible descent direction” method for the constrained case. In the unconstrained case, the …

Multiple Criteria Decision Making (MCDM) is all about making choices in the presence of
multiple conflicting criteria. MCDM has become one of the most important and fastest …

We give an overview of interactive methods developed for solving nonlinear multiobjective
optimization problems. In interactive methods, a decision maker plays an important part and …

Before we explain our motivation for writing this book, let us place its subject in a more
general context. Shape optimization can be viewed as a part of the important branch of …

We propose an extension of Newton's method for unconstrained multiobjective optimization
(multicriteria optimization). This method does not use a priori chosen weighting factors or …

The planning phase of every construction project is entangled with multiple and occasionally
conflicting criteria which need to be optimized simultaneously. Multi-criterion decision …