Research Article
PSO-LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial Proteins
Table 6
PSO-LocBact configuration variables.
| Configuration variable | Value type | Default value | Description |
| w1 | Float | 0.9 | Inertial weight value at the beginning of PSO | w2 | Float | 0.4 | Inertial weight value at the end of PSO | c1i | Float | 2.5 | Cognitive coefficient value at the beginning of PSO | c1f | Float | 0.5 | Cognitive coefficient value at the end of PSO | c2i | Float | 0.5 | Social coefficient value at the beginning of PSO | c2f | Float | 2.5 | Social coefficient value at the end of PSO | Particle num | Integer | 25 | Number of particles generated in the swarm | MAXOBJ | Integer | 1,000 | Maximum number of allowable objective function calls | MAXITER | Integer | ā | Maximum number of allowable iterations; if this value is set, MAXOBJ will be ignored | (Program_name) | String | (Gram-negative: CELLO, PSORTb 3.0, CELLO2GO, SOSUI-GramN, SLP-Local, ngLOC, Gneg-mPLoc, PSLpred, LocTree3; Gram-positive: CELLO, PSORTb 3.0, CELLO2GO, ngLOC, Gpos-mPLoc, LocTree3) | A list of names of the programs used to calculate the final result | (Weight) | Float | ā | A list of weights given to represent the reliability of every program included |
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