Multi-objective evolutionary algorithms (MOEAs) are well-suited for solving several complex
multi-objective problems with two or three objectives. However, as the number of conflicting …

In multi-criterion optimization, Pareto-optimal solutions that appear very similar in the
objective space may have very different pre-images. In many practical applications the …

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

This paper is motivated by problem scenarios in automated drug design. It discusses a
modeling approach for design optimization problems with many criteria that can be …

When solving real-world optimization problems a frequently encountered difficulty is the
presence of uncertainties and noise within the system for which optima are sought. Due to …

There exist several applications of multi-objective evolutionary algorithms for drug design,
however, a common drawback in recent approaches is that the diversity of resulting …

We present the" Dynamic Packing Grid"(DPG) data structure along with details of our
implementation and performance results, for maintaining and manipulating flexible …

Search heuristics for the in-silico discovery of drug candidates have recently received
increased attention. Most of these heuristics such as Simulated Annealing and Evolutionary …

Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image
Analysis Page 1 Combined interactive and automated adaptive search for molecular design …

Este trabajo tiene como objetivo presentar el estado del arte de algoritmos evolutivos
basados en descomposición para problemas con muchos objetivos. En este contexto, se …