Automatic Feature Point Selection through Hybrid Metaheauristics based on Tabu Search and Memetic Algorithm for Augmented Reality

A Hybrid Algorithm Based on Memetic Algorithm and Tabu Search for k-Minimum Spanning Tree Problems

A combinatorial optimization problem, namely kMinimum Spanning Tree Problem, is to find a subtree with exactly k edges in an undirected graph G , such that the sum of edges’ weights is minimal. where graph G is made up of a set of vertices and weight attached edges. Since this problem is NP-hard, heuristic and metaheuristic methods are widely adopted for solving large instances. In this paper, ...

Tabu-KM: A Hybrid Clustering Algorithm Based on Tabu Search Approach

  The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the ...

A novel hybrid feature selection via Symmetrical Uncertainty ranking based local memetic search algorithm

A novel correlation based memetic framework (MA-C) which is a combination of genetic algorithm (GA) and local search (LS) using correlation based filter ranking is proposed in this paper. The local filter method used here fine-tunes the population of GA solutions by adding or deleting features based on Symmetrical Uncertainty (SU) measure. The focus here is on filter methods that are able to as...

A Hybrid Feature Selection Algorithm Based on Large Neighborhood Search

Hybrid Binary Imperialist Competition Algorithm and Tabu Search Approach for Feature Selection Using Gene Expression Data

Gene expression data composed of thousands of genes play an important role in classification platforms and disease diagnosis. Hence, it is vital to select a small subset of salient features over a large number of gene expression data. Lately, many researchers devote themselves to feature selection using diverse computational intelligence methods. However, in the progress of selecting informativ...