activity
20052014
most citedStructural bias in population-based algorithms

93 citations · 236 across the 15 of their papers we have counts for

collaborators

15 papers

cs.NE2014★ 93 cited

Structural bias in population-based algorithms

Anna V. Kononova, David W. Corne, Philippe De Wilde +2

Challenging optimisation problems are abundant in all areas of science. Since the 1950s, scientists have developed ever-diversifying families of black box optimisation algorithms d…

cs.NE2012★ 2 cited

Ecosystem-Oriented Distributed Evolutionary Computing

Gerard Briscoe, Philippe De Wilde

We create a novel optimisation technique inspired by natural ecosystems, where the optimisation works at two levels: a first optimisation, migration of genes which are distributed…

cs.NE2012

Self-Organisation of Evolving Agent Populations in Digital Ecosystems

Gerard Briscoe, Philippe De Wilde

We investigate the self-organising behaviour of Digital Ecosystems, because a primary motivation for our research is to exploit the self-organising properties of biological ecosyst…

cs.NI2011★ 51 cited

Digital Ecosystems: Ecosystem-Oriented Architectures

Gerard Briscoe, Suzanne Sadedin, Philippe De Wilde

We view Digital Ecosystems to be the digital counterparts of biological ecosystems. Here, we are concerned with the creation of these Digital Ecosystems, exploiting the self-organi…

physics.bio-ph2011★ 3 cited

Physical Complexity of Variable Length Symbolic Sequences

Gerard Briscoe, Philippe De Wilde

A measure called Physical Complexity is established and calculated for a population of sequences, based on statistical physics, automata theory, and information theory. It is a mea…

cs.MA2011★ 17 cited

Stability of Evolving Multi-Agent Systems

Philippe De Wilde, Gerard Briscoe

A Multi-Agent System is a distributed system where the agents or nodes perform complex functions that cannot be written down in analytic form. Multi-Agent Systems are highly connec…