GPGPU based Multi-hive ABC Algorithm for Constrained Global Optimization Problems

GPGPU based Multi-hive ABC Algorithm for Constrained Global Optimization Problems

INTRODUCTION: The artificial bee colony (ABC) algorithm is a nature-inspired technique used for solving different optimization problems. This paper presents a multi-hive ABC algorithm for solving constrained benchmark functions of CEC2006. The CEC2006 data set contains the global benchmark function...

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Bibliographic Details
Main Authors: Sandeep U. Mane, Amol C. Adamuthe, Aprupa S. Pawar
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2020-02-01
Series:EAI Endorsed Transactions on Energy Web
Subjects:
Multi-hive ABC algorithm
GPGPU
Coarse-grained model
Constrained benchmark functions
Optimization problems
Online Access:https://publications.eai.eu/index.php/ew/article/view/878

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