In this study, we consider a switching strategy that yields stable desirable dynamic behaviour when it is applied alternatively between two undesirable dynamical systems. From the last few years, systems employed “chaos1 + chaos2 = order” and “order1 order2 chaos” (vice-versa) to control anti of chaotic situations. To find parameter values for these kind alternating situations, comparison being...

Differential Evolution (DE) is a fast and robust evolutionary algorithm for global optimization. It has been widely used in many areas. Biogeography-Based Optimization (BBO) is a new biogeography inspired algorithm. It mainly uses the biogeography-based migration operator to share the information among solutions. In this paper, we propose a hybrid DE with BBO, namely DE/BBO, for the global nume...

Wireless sensor networks (WSNs) is an emerging area for the reserchers for its easiness in deployment. WSNs are adhoc networks in which small sensor nodes are scattered to form network. These sensor nodes having limited resources in terms of energy, memeoy and power etc. WSNs are rapidly growing technology which is very useful for numerous environment applications. In this research, the main ta...

This paper proposes the Multi Objective Optimization (MOO) of Vehicle Active Suspension System (VASS) with a hybrid Differential Evolution (DE) based Biogeography-Based Optimization (BBO) (DEBBO) for the parameter tuning of Proportional Integral Derivative (PID) controller. Initially a conventional PID controller, secondly a BBO, an rising nature enthused global optimization procedure based on ...

The Wireless sensor networks (WSNs) is an emerging area for the researchers for its easiness in deployment. WSNs are adhoc networks in which all sensor nodes are scattered to form network. These sensor node shaving limited resources in terms of energy, memeoy and power etc. WSNs are rapidly growing technology which is very useful for numerous environment applications. In this research, the main...

Abstract. Proportional-integral-derivative (PID) control is the most popular control architecture used in industrial problems. Many techniques have been proposed to tune the gains for the PID controller. Over the last few years, as an alternative to the conventional mathematical approaches, modern metaheuristics, such as evolutionary computation and swarm intelligence paradigms, have been given...

Compression and decompression tools of digital image has become a significant aspect in the storing and transferring of digital image. Fractal image compression technique is recently used to compress images. The main problem with fractal image compression is that it takes a lot of computational time for searching blocks (domain block and range block) and then compares these blocks. There are ma...