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» Parallelism and evolutionary algorithms
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99
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CEC
2005
IEEE
15 years 9 months ago
Complementary selection and variation for an efficient multiobjective optimization of complex systems
Real-world applications generally distinguish themselves from theoretical developments in that they are much more complex and varied. As a consequence, better models require more d...
Benoît Bagot, Hartmut Pohlheim
116
Voted
CEC
2005
IEEE
15 years 9 months ago
A study of dynamic severity in chaotic fitness landscapes
In this paper1 , we consider optimization by an evolutionary algorithm in dynamic environments that change chaotically. In particular, the concept of dynamic severity is applied to...
Hendrik Richter
91
Voted
GECCO
2003
Springer
15 years 8 months ago
On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence
In this paper, some guidelines for setting the parameters of quantum-inspired evolutionary algorithm (QEA) are presented. Although the performance of QEA is excellent, there is rel...
Kuk-Hyun Han, Jong-Hwan Kim
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 9 months ago
Rigorous analyses of simple diversity mechanisms
It is widely assumed and observed in experiments that the use of diversity mechanisms in evolutionary algorithms may have a great impact on its running time. Up to now there is no...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann
83
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PDP
2010
IEEE
15 years 10 months ago
RASM: A Reliable Algorithm for Scalable Multicast
Mouna Allani, João Leitão, Beno&icir...