So far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is Particle Swarm Optimization (PSO). Prior some efforts by applying fuzzy logic for improving defects of PSO such as trapping in local optimums and early convergence has been done. Moreover to overcome the problem of i...

Earthquake time history records are required to perform dynamic nonlinear analyses. In order to provide a suitable set of such records, they are scaled to match a target spectrum as introduced in the well-known design codes. Corresponding scaling factors are taken similar in practice however, optimizing them reduces extra-ordinary economic charge for the seismic design. In the present work a ne...

Popular methods to deal with computation become strenuous due the optimization demands that develop more complex nowadays. This research aims propose a new optimal algorithm, Dove Swarm Optimization (DSO), adopts foraging behaviors of doves have six benchmark functions expressing DSO performance. By considering competition for forage, is designed ensure most satisfied dove as well optimization,...

Image registration is an important issue in medical analysis. In this process the spatial transformation that aligns the reference image and the floating image is estimated by optimizing a similarity metric. Mutual information (MI), a popular similarity metric, is a reliable criterion for medical image registration. In this paper, we present an improved method for multimodal image registration ...

A data-driven approach for optimizing the reheat process in a variable-air-volume box is presented. Data-mining algorithms derive temporal predictive models from the reheat process data. The biobjective model formed is solved with a modified particle swarm optimization algorithm. To increase computational efficiency, two levels of non-dominated solutions are introduced while solving the optimiz...

Optimizing Resource allocation and effort dispatching of interoperability enhancement is a key requirement to effectively setup, develop and evolve intra and inter organizational collaboration. To ensure this objective of effectiveness, this paper proposes initially an approach for representation of interoperability evolution and planning. Interoperability degree is assessed using a ratio metri...

Robot execution failures prediction (classification) in the robot tasks is a difficult learning problem due to partially corrupted or incomplete measurements of data and unsuitable prediction techniques for this prediction problem with little learning samples. Therefore, how to predict the robot execution failures problem with little (incomplete) or erroneous data deserves more attention in the...

With the potential growth of multimedia hardware and applications, the machines have to realize the information by adapting to the internal information. An adaptive content based image retrieval (CBIR) approach based on relevance feedback and Firefly algorithm is proposed in this paper. In addition to the color descriptor, wavelet-based texture descriptor is considered to improve the retrieval ...