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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 4 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
FMSD
2007
97views more  FMSD 2007»
13 years 10 months ago
On the optimal reachability problem of weighted timed automata
We study the cost-optimal reachability problem for weighted timed automata such that positive and negative costs are allowed on edges and locations. By optimality, we mean an infi...
Patricia Bouyer, Thomas Brihaye, Véronique ...
CEC
2005
IEEE
14 years 3 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
ICNC
2005
Springer
14 years 3 months ago
On Evolutionary Optimization of Large Problems Using Small Populations
Abstract. Small populations are very desirable for reducing the required computational resources in evolutionary optimization of complex real-world problems. Unfortunately, the sea...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
HAIS
2009
Springer
14 years 2 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
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...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...