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-rw-r--r--nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/PSGTBehavior.java14
1 files changed, 7 insertions, 7 deletions
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/PSGTBehavior.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/PSGTBehavior.java
index 19f1971f6c0c..546e9dd486a9 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/PSGTBehavior.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/PSGTBehavior.java
@@ -9,7 +9,7 @@
CL real [0, 0.1] 0 PSAgent: chaos factor
//Other choices for c1, c2, w, and CL: (2, 2, 0.4, 0.001)
- * @ Author Create/Modi Note
+ * Author Create/Modi Note
* Xiaofeng Xie May 11, 2004
* Xiaofeng Xie Jul 01, 2008
*
@@ -28,24 +28,24 @@
* @version 1.0
* @Since MAOS1.0
*
- * @References:
+ * References:
* [1] Kennedy J, Eberhart R C. Particle swarm optimization. IEEE Int. Conf. on
* Neural Networks, Perth, Australia, 1995: 1942-1948
- * @ For original particle swarm idea
+ * For original particle swarm idea
* [2] Shi Y H, Eberhart R C. A Modified Particle Swarm Optimizer. IEEE Inter. Conf.
* on Evolutionary Computation, Anchorage, Alaska, 1998: 69-73
- * @ For the inertia weight: adjust the trade-off between exploitation & exploration
+ * For the inertia weight: adjust the trade-off between exploitation & exploration
* [3] Clerc M, Kennedy J. The particle swarm - explosion, stability, and
* convergence in a multidimensional complex space. IEEE Trans. on Evolutionary
* Computation. 2002, 6 (1): 58-73
- * @ Constriction factor: ensures the convergence
+ * Constriction factor: ensures the convergence
* [4] Xie X F, Zhang W J, Yang Z L. A dissipative particle swarm optimization.
* Congress on Evolutionary Computation, Hawaii, USA, 2002: 1456-1461
- * @ The CL parameter
+ * The CL parameter
* [5] Xie X F, Zhang W J, Bi D C. Optimizing semiconductor devices by self-
* organizing particle swarm. Congress on Evolutionary Computation, Oregon, USA,
* 2004: 2017-2022
- * @ Further experimental analysis on the convergence of PSO
+ * Further experimental analysis on the convergence of PSO
* [6] X F Xie, W J Zhang. SWAF: swarm algorithm framework for numerical
* optimization. Genetic and Evolutionary Computation Conference (GECCO),
* Seattle, WA, USA, 2004: 238-250