activity
20062022
most citedA Study of NK Landscapes' Basins and Local Optima Networks

189 citations · 1.3k across the 38 of their papers we have counts for

collaborators

38 papers

cond-mat.stat-mech2022★ 9 cited

A Local Optima Network View of Real Function Fitness Landscapes

Marco Tomassini

The local optima network model has proved useful in the past in connection with combinatorial optimization problems. Here we examine its extension to the real continuous function d…

cond-mat.stat-mech2022

Complex Networks Analysis of the Energy Landscape of the Low Autocorrelation Binary Sequences Problem

Marco Tomassini

We provide an up-to-date view of the structure of the energy landscape of the low autocorrelation binary sequences problem, a typical representative of the -hard class. To stud…

physics.soc-ph2014★ 12 cited

Critical Cooperation Range to Improve Spatial Network Robustness

V. H. P. Louzada, N. A. M. Araújo, T. Verma +3

A robust worldwide air-transportation network (WAN) is one that minimizes the number of stranded passengers under a sequence of airport closures. Building on top of this realistic…

physics.soc-ph2014★ 32 cited

Binary birth-death dynamics and the expansion of cooperation by means of self-organized growth

Attila Szolnoki, Alberto Antonioni, Marco Tomassini +1

Natural selection favors the more successful individuals. This is the elementary premise that pervades common models of evolution. Under extreme conditions, however, the process ma…

cs.NE2014★ 85 cited

Local Optima Networks: A New Model of Combinatorial Fitness Landscapes

Gabriela Ochoa, Sébastien Verel, Fabio Daolio +1

This chapter overviews a recently introduced network-based model of combinatorial landscapes: Local Optima Networks (LON). The model compresses the information given by the whole s…

physics.soc-ph2013★ 39 cited

Opportunistic Migration in Spatial Evolutionary Games

Pierre Buesser, Marco Tomassini, Alberto Antonioni

We study evolutionary games in a spatial diluted grid environment in which agents strategically interact locally but can also opportunistically move to other positions within a giv…