The research field of swarm intelligence contains various algorithms inspired from the particular survival skills of the creatures in Mother Nature. Many researchers utilize these methods to solve problems in engineering and financial fields. In this review, the concept of four swarm intelligence methods, including Bat Algorithm (BA), Evolved Bat Algorithm (EBA), Cat Swarm Optimization (CSO), a...

The traditional (active) reliability redundancy allocation problem (RRAP) is used to maximize system by determining the and variables in each subsystem satisfy volume, cost, weight constraints. RRAP structure very simple, that is, redundant components are parallel subsystem, all subsystems either connected series or a bridge network. Owing its important practical applications, novel RRAP, calle...

This paper presents a Metahybrid algorithm that consists of the dual combination of Wolf Search (WS) and Elman Recurrent Neural Network (ERNN). ERNN is one of the most efficient feed forward neural network learning algorithm. Since ERNN uses gradient descent technique during the training process; therefore, it is not devoid of local minima and slow convergence problem. This paper used a new met...

Classification technique can solve several problems in different fields like medicine, industry, business, science. Noise random error or variance in a measured variable.Reduction is one of the most popular techniques to remove noisy data. Two reduction technique are used for it (FS) Feature Selection and (FE) Feature Extraction. Feature Selection (FS) is a solution that involves finding a subs...

Bat-inspired (BI) search is a recently developed numerical optimization technique that makes use of echolocation behavior of bats in seeking a design space. This study intends to explore capabilities and potentials of this newly developed method in the realm of structural optimization. A novel algorithm is developed that employs basic principles of this method for structural optimization proble...

Grid computing is a process of aggregate the functionality of different geographically resources and provide services to the user. Scheduling is most popular research area in grid computing for achieving high performance. In scheduling, tasks are assigning to resources and maintain the execution. Dependencies constraints are need to preserve for workflow scheduling in grid computing. In this pa...

The success of an artificial neural network (ANN) strongly depends on the variety of the connection weights and the network structure. Among many methods used in the literature to accurately select the network weights or structure in isolate; a few researchers have attempted to select both the weights and structure of ANN automatically by using metaheuristic algorithms. This paper proposes modi...