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» Accelerating convergence towards the optimal pareto front
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EC
2000
187views ECommerce» more  EC 2000»
13 years 10 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
PPSN
2004
Springer
14 years 4 months ago
Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
In spite of the recent quick growth of the Evolutionary Multi-objective Optimization (EMO) research field, there has been few trials to adapt the general variation operators to t...
Olga Rudenko, Marc Schoenauer
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
14 years 3 months ago
Resource sharing optimality in WiFi infrastructure networks
Abstract— In WiFi networks, mobile nodes compete for accessing a shared channel by means of a random access protocol called Distributed Coordination Function (DCF). Although this...
Laura Giarré, Giovanni Neglia, Ilenia Tinni...
CEC
2010
IEEE
13 years 12 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
TEC
2002
161views more  TEC 2002»
13 years 10 months ago
A fast and elitist multiobjective genetic algorithm: NSGA-II
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( 3) computational complexity (where is the number ...
Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Mey...