Abstract

Soft Computational Approaches for Prediction and Estimation of Software Development.

Highlights

  • The use of soft computational approaches has been extended to a large variety of software engineering applications

  • PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for the wireless sensor network (WSN), in which the clustering and clustering head selection are done by using the Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in the WSN

  • The proposed method consists of two part, fuzzy subsystem and neural network system, which can yield energy efficiency in building up clusters and cluster heads in the WSN

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Summary

Introduction

PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for the wireless sensor network (WSN), in which the clustering and clustering head selection are done by using the Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in the WSN. Editorial Soft Computational Approaches for Prediction and Estimation of Software Development The use of soft computational approaches has been extended to a large variety of software engineering applications.

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