64 search results - page 5 / 13 » Evolutionary Multimodal Optimization Revisited |
78
Voted
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In this paper, the issue of adapting probabilities for Evolutionary Algorithm (EA) search operators is revisited. A framework is devised for distinguishing between measurements of...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
107
Voted
FLAIRS
2004
14 years 11 months ago
2004
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
85
Voted
TEC
2008
14 years 10 months ago
2008
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
80
Voted
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...