This research deals with the diesel engine optimization by Nelder-Mead algorithm and initial
points distribution done by Sobol sequence and Latin hypercube sampling methods. Nelder …

In this paper, we discuss the idea of incorporating preference information into evolutionary
multi-objective optimization and propose a preference-based evolutionary approach that …

Single screw polymer extrusion can be seen as a multi-objective optimization problem
where a set of design variables must be defined as a function of objectives and constraints …

Solving real-life engineering problems requires often multiobjective, global, and efficient (in
terms of objective function evaluations) treatment. In this study, we consider problems of this …

Multi-objective decisions problems are ubiquitous in requirements engineering. A common
approach to solve them is to apply search-based techniques to generate a set of non …

In design situations where a single solution must be selected, it is often desirable to present
the designer with a smart Pareto set of solutions—a minimal set of nondominated solutions …

The nondominated frontier of a multiobjective optimization problem can be overwhelming to
a decision maker, as it is often either very large or infinite in size. Instead, a discrete …

Many real-world search and optimization problems are naturally posed as non-linear
programming problems having multiple conflicting objectives. Due to lack of suitable …

A hálózatelemzés új távlatokat nyit az adatelemzés területén. Az adatpontokat
csomópontokként és a közöttük lévő kapcsolatokat élekként ábrázolva „adathálózatot” …

Multiobjective problems usually contain conflicting objectives. Therefore, there is no single
best solution but a set of solutions that represent different tradeoffs between these …