64 search results - page 3 / 13 » Evolutionary Multimodal Optimization Revisited |
93
Voted
ISDA
2009
IEEE
15 years 4 months ago
2009
IEEE
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
89
Voted
TEC
1998
14 years 10 months ago
1998
Abstract—Interest in multimodal optimization function is expanding rapidly since real-world optimization problems often require the location of multiple optima in the search spac...
87
Voted
HAIS
2009
Springer
15 years 2 months ago
2009
Springer
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
90
Voted
GECCO
2003
Springer
15 years 3 months ago
2003
Springer
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...