A survey of techniques for characterising fitness landscapes and some possible ways forward

KM Malan, AP Engelbrecht - Information Sciences, 2013 - Elsevier
Real-world optimisation problems are often very complex. Metaheuristics have been
successful in solving many of these problems, but the difficulty in choosing the best …

A survey of fitness landscape analysis for optimization

F Zou, D Chen, H Liu, S Cao, X Ji, Y Zhang - Neurocomputing, 2022 - Elsevier
Over past few decades, as a powerful analytical tool to characterize the fitness landscape of
a problem, fitness landscape analysis (FLA) has been widely concerned and utilized for all …

Neutrality in evolutionary algorithms… What do we know?

E Galván-López, R Poli, A Kattan, M O'Neill… - Evolving Systems, 2011 - Springer
Over the last years, the effects of neutrality have attracted the attention of many researchers
in the Evolutionary Algorithms (EAs) community. A mutation from one gene to another is …

Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization

Z Ma, H Guo, YJ Gong, J Zhang, KC Tan - ar** is local if it preserves neighbourhood. In Evolutionary Computation, locality is
generally described as the property that neighbouring genotypes correspond to …