187 search results - page 8 / 38 » Benchmarking and solving dynamic constrained problems |
MICAI
2004
Springer
15 years 3 months ago
2004
Springer
In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
ASPDAC
2000
ACM
15 years 2 months ago
2000
ACM
Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
－ In this paper, we propose a Multiobjective Self-adaptive Differential Evolution algorithm with objective-wise learning strategies (OW-MOSaDE) to solve numerical optimization pr...