In this paper we describe evolutionary heuristics for numerically solving systems of several, interdependent optimisation problems. They can be used for the solution of some games with simultaneous moves of the players (Nash equilibria), asynchronous moves (Stackelberg equilibria), or a mix of these situations. The application is possible in cases where the presence of non-convexities, integral...

Interdisciplinary research is becoming more and popular. Many funding bodies encourage interdisciplinarity, as a criterion that promises scientific progress. Traditionally this has been linked to the idea of integrating or unifying disciplines. Using evolutionary game theory case study, Till Grüne-Yanoff (2016) argued there no such necessary link between interdisciplinary success integration. C...

This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. This is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. This rule ...

It has long been known in the field of population genetics that adaptive topographies, in which population equilibria maximise mean population fitness for a trait regardless of its genetic bases, do not exist. Whether one chooses to model selection acting on a single locus or multiple loci does matter. In evolutionary game theory, analysis of a simple and general game involving distinct roles f...