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One Dimensional (1D) Double Weight (DW) code families are one of the coding schemes reported for Spectral Amplitude Coding — Optical Code Division Multiple Access systems. Modified Double Weight code and Enhanced Double Weight code are two algorithms which increase the scope of DW code for even and odd weights respectively. By using above mentioned codes, two Dimensional (2D) codes are generated....
Nature has been the key source of inspiration for development of many heuristic optimization algorithm. In this manuscript a new clustering model is developed based on a recently developed nature inspired algorithm ‘Colliding Bodies Optimization (CBO)’. The CBO is based on the phenomenon of collision between bodies where each body try to occupy a convenient position in the search space. The proposed...
Conventional clustering algorithms use a single objective function optimization criterion for classification which may not provide satisfactory results to determine the underlying clusters in many datasets. In such scenario multi-objective algorithms are preferred which improve the clustering performance due to additional knowledge of data properties in the form of objective functions. In this paper...
Hybrid evolutionary algorithms are created by suitably combining the good features of two parent evolutionary algorithms, normally provide better solutions than the individual ones. In this paper we have formulated the partitional clustering as an optimization problem and solved it by a newly developed hybrid evolutionary algorithm Immunized PSO. Simulation studies on four benchmark UCI datasets demonstrate...
Modeling of complex nonlinear systems has become a challenging task in presence of outliers. In this scenario a robust norm with an evolutionary approach does a potential job. A modified evolutionary algorithm GOPSO (global selection based orthogonal PSO) is proposed which offers a more accurate and computationally efficient training compared to OPSO (Orthogonal PSO). The potential of the proposed...
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