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GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 7 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
ICAI
2003
15 years 5 months ago
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
Zhenyu Yan, Wei Zhi, Lishan Kang
SEBD
1996
94views Database» more  SEBD 1996»
15 years 5 months ago
Efficient Algorithm for determining the Optimal Execution Strategy for Path Queries in OODBS
Abstract. To select an optimal query evaluation strategy for a path query in an object-oriented database system one has to exploit the available index structures on the path. In a ...
Weimin Chen, Karl Aberer
CEC
2010
IEEE
15 years 5 months ago
On convergence of multi-objective Particle Swarm Optimizers
Several variants of the Particle Swarm Optimization (PSO) algorithm have been proposed in recent past to tackle the multi-objective optimization problems based on the concept of Pa...
Prithwish Chakraborty, Swagatam Das, Ajith Abraham...
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 5 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu