This paper reviews current optimization technique developed to solve reservoir operation
problems in water resources. The application of conventional, especially evolutionary …

Gravitational search algorithm (GSA) is a nature-inspired conceptual framework with roots in
gravitational kinematics, a branch of physics that models the motion of masses moving …

Gravitational search algorithm (GSA) has been recently presented as a new heuristic search
algorithm with good results in real-valued and binary encoded optimization problems which …

The analysis and prediction of slope stability are very important, because slope failure can
lead to large disasters. This paper focused on a performance comparison of four supervised …

In content-based image retrieval (CBIR) applications, each database needs its
corresponding parameter setting for feature extraction. However, most of the CBIR systems …

This paper presents a novel binary algorithm named as binary spider monkey optimization
(binSMO) for thinning of concentric circular antenna arrays (CCAA). The proposed algorithm …

This paper hybridizes the gravitational search algorithm (GSA) with support vector machine
(SVM) and makes a novel GSA-SVM hybrid system to improve classification accuracy with …

In this paper, a novel population based metaheuristic search algorithm by combination of
gravitational search algorithm (GSA) and quantum computing (QC), called a Binary …

In recent years, heuristic algorithms have been successfully applied to solve clustering and
classification problems. In this paper, gravitational search algorithm (GSA) which is one of …

Feature selection is an important task to improve prediction accuracy of classifiers and to
decrease the problem size. Several approaches have been presented to perform feature …