14774 search results - page 57 / 2955 » Computational complexity and evolutionary computation |
120
Voted
CEC
2007
IEEE
15 years 7 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
108
Voted
IJCAI
2007
15 years 5 months ago
2007
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
130
Voted
ISNN
2009
Springer
15 years 10 months ago
2009
Springer
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...
146
Voted
CEC
2009
IEEE
15 years 10 months ago
2009
IEEE
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
112
Voted
IAT
2008
IEEE
15 years 10 months ago
2008
IEEE
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...