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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 2 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 9 days ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
EVOW
2010
Springer
14 years 2 months ago
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding
CEC
2008
IEEE
14 years 2 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 2 months ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson