10

 

Improved Dynamic Virtual Bats Algorithm for Identifying a Suspension System Parameters

 

Ali Osman Topal

Department of Computer EngineeringEpoka University, Tirana, Albania

CONTENTS

10.1Introduction

10.2Original Dynamic Virtual Bats Algorithm (DVBA)

10.3Improved Dynamic Virtual Bats Algorithm (IDVBA)

10.3.1The weakness of DVBA

10.3.2Improved Dynamic Virtual Bats Algorithm (IDVBA)

10.4Application of IDVBA for identifying a suspension system.

10.5Conclusions

References

 

10.1Introduction

Dynamic Virtual Bats Algorithm (DVBA), by Topal and Altun [3], is another meta-heuristic algorithm inspired by bats’ ability to manipulate frequency and wavelength of sound waves emitted during their hunt. In DVBA, a role-based search is developed to ...

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