Algorithm 167 Life-Cycle PSO in VS .NET

Making Quick Response Code in VS .NET Algorithm 167 Life-Cycle PSO
330 Algorithm 167 Life-Cycle PSO
QR Code JIS X 0510 Decoder In .NET Framework
Using Barcode Control SDK for .NET Control to generate, create, read, scan barcode image in Visual Studio .NET applications.
16 Particle Swarm Optimization
QR Code 2d Barcode Encoder In Visual Studio .NET
Using Barcode maker for Visual Studio .NET Control to generate, create QR Code image in VS .NET applications.
Initialize a population of individuals; repeat for all individuals do Evaluate tness; if fitness did not improve then Switch to next phase; end end for all PSO particles do Calculate new velocity vectors; Update positions; end for all GA individuals do Perform reproduction; Mutate; Select new population; end for all Hill-climbers do Find possible new neighboring solution; Evaluate tness of new solution; Move to new solution with speci ed probability; end until stopping condition is true;
QR Code Decoder In .NET Framework
Using Barcode reader for .NET Control to read, scan read, scan image in Visual Studio .NET applications.
Cooperative Split PSO The cooperative split PSO, rst introduced in [864] by Van den Bergh and Engelbrecht, is based on the cooperative coevolutionary genetic algorithm (CCGA) developed by Potter [686] (also refer to Section 153) In the cooperative split PSO, denoted by CPSO-SK , each particle is split into K separate parts of smaller dimension [863, 864, 869] Each part is then optimized using a separate sub-swarm If K = nx , each dimension is optimized by a separate sub-swarm, using any PSO algorithm The number of parts, K, is referred to as the split factor The di culty with the CPSO-SK algorithm is how to evaluate the tness of the particles in the sub-swarms The tness of each particle in sub-swarm Sk cannot be computed in isolation from other sub-swarms, since a particle in a speci c sub-swarm represents only part of the complete nx -dimensional solution To solve this problem, a context vector is maintained to represent the nx -dimensional solution The simplest way to construct the context vector is to concatenate the global best positions from the K sub-swarms To evaluate the tness of particles in sub-swarm Sk , all the components of the context vector are kept constant except those that correspond to the components of sub-swarm Sk Particles in sub-swarm Sk are then swapped into the corresponding positions of the context vector, and the original tness function is used to evaluate the tness of the context vector The tness value obtained is then assigned as the tness
Encoding Bar Code In Visual Studio .NET
Using Barcode printer for .NET framework Control to generate, create barcode image in .NET framework applications.
165 Single-Solution Particle Swarm Optimization of the corresponding particle of the sub-swarm
Recognizing Barcode In .NET Framework
Using Barcode recognizer for .NET Control to read, scan read, scan image in .NET framework applications.
This process has the advantage that the tness function, f , is evaluated after each subpart of the context vector is updated, resulting in a much ner-grained search One of the problems with optimizing the complete nx -dimensional problem is that, even if an improvement in tness is obtained, some of the components of the nx -dimensional vector may move away from an optimum The improved tness could have been obtained by a su cient move towards the optimum in the other vector components The evaluation process of the CPSO-SK addresses this problem by tuning subparts of the solution vector separately Algorithm 168 Cooperative Split PSO Algorithm K1 = nx mod K; K2 = K (nx mod K); Initialize K1 nx /K -dimensional swarms; Initialize K2 nx /K -dimensional swarms; repeat for each sub-swarm Sk ,k = 1, , K do for each particle i = 1, , Sk ns do if f (b(k, Sk xi )) < f (b(k, Sk yi )) then Sk yi = Sk xi ; end y if f (b(k, Sk yi )) < f (b(k, Sk )) then Sk = Sk yi ; y end end Apply velocity and position updates; end until stopping condition is true; The CPSO-SK algorithm is summarized in Algorithm 168 In this algorithm, b(k, z) returns an nx -dimensional vector formed by concatenating the global best positions from all the sub-swarms, except for the k-th component which is replaced with z, where z represents the position vector of any particle from sub-swarm Sk The context vector is therefore de ned as y y y y b(k, z) = (S1 , , Sk 1 , z, Sk+1 , , SK ) (1682)
QR Code Encoder In Visual C#
Using Barcode generator for VS .NET Control to generate, create QR Code JIS X 0510 image in .NET framework applications.
While the CPSO-SK algorithm has shown signi cantly better results than the basic PSO, it has to be noted that performance degrades when correlated components are split into di erent sub-swarms If it is possible to identify which parameters correlate, then these parameters can be grouped into the same swarm which will solve the problem However, such prior knowledge is usually not available The problem can also be addressed to a certain extent by allowing a particle to become the global best or personal best of its sub-swarm only if it improves the tness of the context vector Algorithm 169 summarizes a hybrid search where the CPSO and GCPSO algorithms are interweaved Additionally, a rudimentary form of cooperation is implemented
Paint QR Code 2d Barcode In VS .NET
Using Barcode drawer for ASP.NET Control to generate, create Denso QR Bar Code image in ASP.NET applications.
Denso QR Bar Code Encoder In VB.NET
Using Barcode encoder for VS .NET Control to generate, create QR Code JIS X 0510 image in VS .NET applications.
EAN 128 Drawer In .NET
Using Barcode generator for .NET Control to generate, create GS1-128 image in VS .NET applications.
Draw USPS OneCode Solution Barcode In .NET Framework
Using Barcode creator for VS .NET Control to generate, create USPS Intelligent Mail image in .NET applications.
Creating USS Code 39 In Java
Using Barcode generator for Java Control to generate, create Code 39 Full ASCII image in Java applications.
UCC - 12 Generator In Visual C#
Using Barcode maker for VS .NET Control to generate, create UPC-A Supplement 5 image in Visual Studio .NET applications.
Recognizing Bar Code In .NET Framework
Using Barcode reader for Visual Studio .NET Control to read, scan read, scan image in .NET applications.
ECC200 Decoder In VS .NET
Using Barcode decoder for .NET framework Control to read, scan read, scan image in Visual Studio .NET applications.