The longest arc-preserving common subsequence problem is an NPhard combinatorial optimization problem from the field of computational biology. This problem finds applications, in particular, in the comparison of arc-annotated Ribonucleic acid (RNA) sequences. In this work we propose a simple, hybrid evolutionary algorithm to tackle this problem. The most important feature of this algorithm conc...

1 Hybrid Evolutionary Algorithms: Methodologies, Architectures and Reviews Crina Grosan and Ajith Abraham . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.

The scheduling of exams in institutions of higher education is known to be a highly constrained problem. The advent of modularity in many institutions in the UK has resulted in a significant increase in its complexity, imposing even more difficulties on university administrators who must find a solution, often without any computer aid. Of the many methods that have been applied to solving the p...

With the proliferation of information available in the internet and databases, the privacypreserving data mining is extensively used to maintain the privacy of the underlying data. Various methods of the state art are available in the literature for privacypreserving. Evolutionary Algorithms (EAs) provide effective solutions for various real-world optimization problems. Evolutionary Algorithms ...

Global optimization methods play an important role to solve many real-world problems. However, the implementation of single methods is excessively preventive for high dimensionality and nonlinear problems, especially in term of the accuracy of finding best solutions and convergence speed performance. In recent years, hybrid optimization methods have shown potential achievements to overcome such...

In this paper, we propose a Hybrid Genetic Algorithm for data model partitioning of power distribution network. Analytical functions are the core of Distribution Management Systems (DMSs). Efficient calculation of the functions is of the utmost importance for the DMS users; the necessary preconditions for the efficient calculation are optimal load balancing of processors and data model partitio...

In this paper, we present a new idea of evolving weights for the Artijicial Neural Networks (ANNs). We propose a novel hybrid learning approach for the training of a feed-forward ANN. The approach combines evolutionary algorithms with matrix solution methods such as GramSchmidt etc., to achieve optimum weights for hidden and output layers. Our hybrid method is to apply the evolutionary algorith...

human language, over its evolutionary history, has emerged as one of the fundamental defining characteristic of the modern man. however, this milestone evolutionary process through natural selection has not left any ’linguistic fossils’ that may enable us to trace back the actual course of development of language and its establishment in human societies. lacking analytical tools to fathom the cr...

This paper presents a hybrid particle swarm algorithm for solving the multiobjective reactive power dispatch problem. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer se...