Most traditional multi-criteria optimization techniques require that the decision maker
construct an aggregate objective function using the weights determined as a result of a trial …

This study presents a robust evolutionary computational technique, called multi-expression
programming (MEP), to derive a highly nonlinear model for the prediction of compression …

In this work, we address the evaluation of design concepts and the analysis of multiple
Pareto fronts in multi-criteria decision-making using level diagrams. Such analysis is …

Preference articulation in multi-objective optimization could be used to improve the
pertinency of solutions in an approximated Pareto front. That is, computing the most …

A multiobjective optimisation engineering design (MOED) methodology for PI controller
tuning in multivariable processes is presented. The MOED procedure is a natural approach …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Structural design is a complicated decision-making process involving multiple qualitative
and quantitative factors. Currently, most automated design methods consider only …

Los controladores PID continúan siendo una solución fiable, robusta, práctica y sencilla
para el control de procesos. Actualmente constituyen la primera capa de control de la gran …

This paper proposes a new multiobjective evolutionary algorithm based on the black hole
algorithm with a new individual density assessment (cell density), called “adaptive …

Multiple response optimization problems have many optimal solutions that impact differently
on process or product. Some of these solutions lead to operation conditions more …