ENC
2005
IEEE
13 years 10 months ago
2005
IEEE
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
When evolutionary algorithms are used for solving numerical constrained optimization problems, how to deal with the relationship between feasible and infeasible individuals can dir...
MICAI
2007
Springer
13 years 10 months ago
2007
Springer
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— This paper presents a comparison of four bioinspired algorithms (all seen as search engines) with a similar constraint-handling mechanism (Deb’s feasibility rules) to...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Meta-heuristic optimization approaches are commonly applied to many discrete optimization problems. Many of these optimization approaches are based on a local search op...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adapti...