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» Evolutionary Computation for Modeling and Optimization
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CEC
2010
IEEE
13 years 10 months ago
Two-stage based ensemble optimization for large-scale global optimization
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In this p...
Yu Wang, Bin Li
GECCO
2010
Springer
149views Optimization» more  GECCO 2010»
14 years 3 days ago
P system model optimisation by means of evolutionary based search algorithms
Carlos García-Martínez, Claudio Lima...
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
14 years 2 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
ICIC
2007
Springer
14 years 2 months ago
On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms
Abstract. In this paper, a general framework of quantum-inspired multiobjective evolutionary algorithms is proposed based on the basic principles of quantum computing and general s...
Zhiyong Li, Zhe Li, Günter Rudolph
ECAL
1995
Springer
14 years 10 days ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph