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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 10 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...
CEC
2009
IEEE
13 years 8 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
13 years 8 months ago
An artificial immune system and its integration into an organic middleware for self-protection
Our human body is well protected by antibodies from our biological immune system. This protection system matured over millions of years and has proven its functionality. In our re...
Andreas Pietzowski, Wolfgang Trumler, Theo Ungerer
EPS
1997
Springer
13 years 9 months ago
Tracking Extrema in Dynamic Environments
Typical applications of evolutionary optimization involve the off-line approximation of extrema of static multi-modal functions. Methods which use a variety of techniques to self-...
Peter J. Angeline
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
13 years 11 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya