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CEC
2008
IEEE
14 years 3 months ago
A Fast Bacterial Swarming Algorithm for high-dimensional function optimization
—A novel Fast Bacterial Swarming Algorithm (FBSA) for high-dimensional function optimization is presented in this paper. The proposed algorithm combines the foraging mechanism of...
Ying Chu, Hua Mi, Huilian Liao, Zhen Ji, Q. H. Wu
IROS
2007
IEEE
101views Robotics» more  IROS 2007»
14 years 3 months ago
PSO-Tuned F2 method for multi-robot navigation
—The F2 (Force Field) method is a novel approach for multi-robot motion planning and collision avoidance. The setting of parameters is however vital to its performance. This pape...
Dalong Wang, Ngai Ming Kwok, D. K. Liu, Haye Lau, ...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 2 months ago
Two improved differential evolution schemes for faster global search
Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. In this paper we present two new, improved variants of D...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
CEC
2007
IEEE
14 years 26 days ago
Parallel PSO using MapReduce
In optimization problems involving large amounts of data, such as web content, commercial transaction information, or bioinformatics data, individual function evaluations may take ...
Andrew W. McNabb, Christopher K. Monson, Kevin D. ...
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 10 months ago
An evolutionary approach for competency-based curriculum sequencing
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. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...