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» Multiobjective optimization for dynamic environments
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GEM
2009
13 years 7 months ago
Evidence of Coevolution in Multi-objective Evolutionary Algorithms
- This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met. We find that interaction...
James Whitacre
NC
2002
210views Neural Networks» more  NC 2002»
13 years 9 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 4 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
ESORICS
2008
Springer
13 years 11 months ago
Security Provisioning in Pervasive Environments Using Multi-objective Optimization
Pervasive computing applications involve information flow across multiple organizations. Thus, any security breach in an application can have far-reaching consequences. However, ef...
Rinku Dewri, Indrakshi Ray, Indrajit Ray, Darrell ...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
14 years 1 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen