Past present future (PPF) is a new stochastic optimization algorithm inspired by the
phenomena of the way an individual learns from a successful person in society. PPF is …

Wireless sensor networks (WSNs) are composed of sensor nodes, having limited energy
resources and low processing capability. Accordingly, major challenges are involved in …

Since the early days of optimization, basically there are two famous optimization methods
such as evolutionary-based and swarm intelligence-based algorithms. These two algorithms …

Evolutionary computation is a collection of algorithms based on the evolution of a population
towards a solution of certain problem. These algorithms can be used successfully in many …

In a wireless sensor network (WSN), data gathering is more effectually done with the
clustering process. Clustering is a critical strategy for improving energy efficiency and …

Feature selection is a valuable technique in data analysis for information preserving data
reduction. This paper proposes to consider an information system without any decision …

Abstract Teaching Learning Based Optimization (TLBO) is being used as a new, reliable,
accurate and robust optimization technique scheme for global optimization over continuous …

The choice of initial center plays a great role in achieving optimal clustering results in all
partitional clustering approaches. Fuzzy C-means is a widely used approach but it also gets …

The teaching–learning based optimisation (TLBO) is recently being used as a new, reliable,
accurate and robust optimisation technique for global optimisation over continuous spaces …

In recent years swarm intelligence (SI)-based techniques have proven their importance for
finding the solution of global optimisation problems. In SI-based algorithms agents act in a …