64 search results - page 3 / 13 » Evolutionary Multimodal Optimization Revisited |
168
Voted
ISDA
2009
IEEE
16 years 1 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...
167
Voted
TEC
1998
15 years 6 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...
182
Voted
HAIS
2009
Springer
15 years 11 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...
174
Voted
GECCO
2003
Springer
15 years 11 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...
166
Voted
GECCO
2007
Springer
16 years 16 days 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 ...