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GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
15 years 10 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
DATE
2000
IEEE
88views Hardware» more  DATE 2000»
15 years 9 months ago
Free MDD-Based Software Optimization Techniques for Embedded Systems
Embedded systems make a heavy use of software to perform Real-Time embedded control tasks. Embedded software is characterized by a relatively long lifetime and by tight cost, perf...
Chunghee Kim, Luciano Lavagno, Alberto L. Sangiova...
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 4 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 5 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
TSP
2008
109views more  TSP 2008»
15 years 4 months ago
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints
This paper deals with the design of coded waveforms which optimize radar performances in the presence of colored Gaussian disturbance. We focus on the class of linearly coded puls...
Antonio De Maio, Silvio De Nicola, Yongwei Huang, ...