89 search results - page 4 / 18 » Hybrid differential evolution - Particle Swarm Optimization ... |
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
JCST
2008
13 years 7 months ago
2008
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional an...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
TEC
2008
13 years 7 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...
GECCO
2010
Springer
14 years 15 days ago
2010
Springer
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...