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GECCO
2010
Springer
178views Optimization» more  GECCO 2010»
13 years 11 months ago
Crossing the reality gap in evolutionary robotics by promoting transferable controllers
The reality gap, that often makes controllers evolved in simulation inefficient once transferred onto the real system, remains a critical issue in Evolutionary Robotics (ER); it p...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...
SACI
2007
IEEE
14 years 1 months ago
A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth
- The aim of this paper is to propose a filter, based on a multi-objective evolutionary algorithm, for attributes’ ranking in the context of a data mining task. The behavior of t...
Daniela Zaharie, Stefan Holban, Diana Lungeanu, Da...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
13 years 11 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
CEC
2009
IEEE
14 years 1 months ago
Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks
Abstract— Peer-to-peer based distributed computing environments can be expected to be dynamic to greater of lesser degree. While node losses will not usually lead to catastrophic...
Ian Scriven, Andrew Lewis, Sanaz Mostaghim
AMC
2006
114views more  AMC 2006»
13 years 6 months ago
A multi-objective resource allocation problem in dynamic PERT networks
We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and t...
Amir Azaron, Reza Tavakkoli-Moghaddam