Natural Computing

Preface

Michael Emmerich, André Deutz, Iryna Yevseyeva

Pure and mixed lexicographic-paretian many-objective optimization: state of the art

• Open Access

Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb

Dominance-based variable analysis for large-scale multi-objective problems

• Open Access

Dani Irawan, Boris Naujoks, Thomas Bäck, Michael Emmerich

What’s in a distance? Exploring the interplay between distance measures and internal cluster validity in multi-objective clustering

Adán José-García, Julia Handl

The objective that freed me: a multi-objective local search approach for continuous single-objective optimization

• Open Access

Pelin Aspar, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, Christian Grimme

A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization

Shuwei Zhu, Lihong Xu, Erik Goodman, Kalyanmoy Deb, Zhichao Lu

A comparison of distance metrics for the multi-objective pathfinding problem

• Open Access

Jens Weise, Sanaz Mostaghim

MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization

Fei Liu, Qingfu Zhang, Zhonghua Han

Analysis of inter and intra-front operations in multi-modal multi-objective optimization problems

• Open Access

Mahrokh Javadi, Sanaz Mostaghim

Asynchronous, finite dynamical systems

Henning S. Mortveit

Enhancing differential evolution algorithm through a population size adaptation strategy

Yanyun Zhang, Guangming Dai, Lei Peng, Maocai Wang

On the right combination of altruism and randomness in the motion of homogeneous distributed autonomous agents

Michael Hassoun, Evgeny Kagan