Titlebook: Applications of Evolutionary Computation; EvoApplications 2012 Cecilia Chio,Alexandros Agapitos,Georgios N. Yanna Conference proceedings 20

華而不實

An Empirical Tool for Analysing the Collective Behaviour of Population-Based Algorithmsr making technically sound choices of algorithms and also for designing new algorithms for specific applications. In this paper, we present an empirical approach to analyse and quantify the collective emergent behaviour of populations. In particular, our long term objective is to understand and char

鐵砧

Impugn

The Emergence of Multi-cellular Robot Organisms through On-Line On-Board Evolution to do so. To this end, we create a world where aggregated robots receive more energy than individual ones and enable robots to evolve their controllers on-the-fly, during their lifetime. We perform experiments in six different implementations of the basic idea distinguished by the system of energy

結(jié)合

Evolving Seasonal Forecasting Models with Genetic Programming in the Context of Pricing Weather-Deri forecast of a temperature profile as part of the broader process of determining appropriate pricing model for weather-derivatives, financial instruments that allow organisations to protect themselves against the commercial risks posed by weather fluctuations. Two different approaches for time-serie

CLAM

Obstacle

高深莫測

A Comparative Study of Multi-objective Evolutionary Algorithms to Optimize the Selection of Investmeroach this within Markowitz’s model, considering the case of mutual funds market in Europe until July 2010. Comparisons were made on three multi-objective evolutionary algorithms, namely NSGA-II, SPEA2 and IBEA. Two well-known performance measures are considered for this purpose: hypervolume and ..

否決

HAIRY

Evolutionary Data Selection for Enhancing Models of Intraday Forex Time Seriesdictive models built using the remaining intraday data will be more accurate. To test this hypothesis, we use an evolutionary method (called Evolutionary Data Selection, EDS) to selectively remove out portions of training data that is to be made available to an intraday market predictor. After perfo

menopause

0302-9743 onal Conference on the Applications of Evolutionary Computation, EvoApplications 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 54 revised full papers presented were carefully reviewed and selected from 90 submissions. EvoAp