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IPPS
2007
IEEE
16 years 13 days ago
Parallel Processing for Multi-objective Optimization in Dynamic Environments
This paper deals with the use of parallel processing for multi-objective optimization in applications in which the objective functions, the restrictions, and hence also the soluti...
Mario Cámara, Julio Ortega, Francisco de To...
133
Voted
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
16 years 9 days ago
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
Daniel Rivero, Juan R. Rabuñal, Julian Dora...
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 11 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
15 years 11 months ago
The impact of cellular representation on finite state agents for prisoner's dilemma
The iterated prisoner’s dilemma is a widely used computational model of cooperation and conflict. Many studies report emergent cooperation in populations of agents trained to p...
Daniel A. Ashlock, Eun-Youn Kim
IUI
2004
ACM
15 years 11 months ago
Making critiquing practical: incremental development of educational critiquing systems
Expert critiquing systems in education can support teachers in providing high quality individualized feedback to students. These systems, however, require significant development ...
Lin Qiu, Christopher Riesbeck