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CEC
2005
IEEE
15 years 3 months ago
Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...
CEC
2009
IEEE
15 years 4 months ago
An orthogonal multi-objective evolutionary algorithm with lower-dimensional crossover
Abstract— This paper proposes an multi-objective evolutionary algorithm. The algorithm is based on OMOEA-II[2]. A new linear breeding operator with lower-dimensional crossover an...
Song Gao, Sanyou Y. Zeng, Bo Xiao, Lei Zhang, Yulo...
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
EH
2004
IEEE
102views Hardware» more  EH 2004»
15 years 1 months ago
Design Space Issues for Intrinsic Evolvable Hardware
This paper discusses the problem of increased programming time for intrinsic evolvable hardware (EHW) as the complexity of the circuit grows. We develop equations for the size of ...
James Hereford, David A. Gwaltney
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 2 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...