Call for Papers

Special Session for ICO2018

Nature-Inspired Optimization Algorithms and their applications

Aims and Scope
Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimization problems have become increasingly large, complex and dynamic. These nature-inspired optimization algorithms can be based on swarm intelligence, biological systems, physical and chemical systems. This special session aims to provide a platform for people from both academia and industry to share and exchange their knowledge on nature-inspired optimization algorithms and their applications. This special session welcomes original and unpublished contributions on all aspects of nature-inspired optimization algorithms, including (but not limited to):
• Algorithms such as particle swarm optimization, ant and bee algorithms, butterfly optimization algorithm, firefly algorithm, bat algorithm, flower algorithm, cuckoo search etc.
• Modelling and analysis of new nature-inspired optimization algorithms
• Hybrid schemes with other algorithms
• Theoretical aspects of nature-inspired optimization algorithms
• New benchmarks and performance measures to evaluate nature-inspired optimization algorithms 
• Applications to both constrained and unconstrained optimization
• Applications to single-objective, multi-objective and many-objective optimization
• Applications to both static and dynamic problems
• Applications to real-world optimization problems



Dr. Vipul Sharma 
Assistant Professor 
Computer Science & Engineering Department
I.K. Gujral Punjab Technical University 
Punjab, INDIA 

Dr. Sankalap Arora
Assistant professor
Department of Computer Science & Engineering
DAV University, Jalandhar
Punjab, INDIA 


Short Bio of Organizers
Dr. Vipul Sharma is currently working as an Assistant Professor in the Department of Computer Science and Engineering at I.K. Gujral Punjab Technical University, Punjab, INDIA. He received his B.Tech. Degree in Computer Science and Engineering from Punjab Technical University, Jalandhar, Punjab, India and subsequently his M.E. and Ph.D. Degrees in Computer Science & Engineering from UIET, Panjab University, Chandigarh, India. His Ph.D. thesis focused on use of machine learning techniques to associate low level image features with the query concepts, relevance feedback techniques to learn users’ intention and feature selection to find an optimal set of features that can not only capture the texture of images but also enhances the semantic interpretability for reducing the semantic gap in medical image retrieval. He is actively pursuing research in Medical Image Processing. He is the awardee of TEQIP-II fellowship during Ph.D. He also received the UIET, Panjab University Research Award-2015 and a cash prize of Rs 10000 for his outstanding publication in the Medical & Biological Engineering & Computing Journal (SCI Journal). He is a member of many professional bodies including Society of Photo-Optical Instrumentation Engineers, USA; Engineering in Medicine & Biology Society; Association for Computing Machinery; IEEE; IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence; Multimedia Computing; IEEE Young Professionals. He has published 19 research articles in reputed journals and conferences. His current research includes development of effective classification and retrieval techniques for the retrieval of medical images from large image databases.

Dr. Sankalap Arora received his Bachelor’s degree (B.Tech.) and Master’s degree (M.Tech.) from Lovely Professional University, Phagwara, Punjab (India) with specialization in Computer Science Engineering in 2011. He has done his Doctoral degree (Ph.D.) from I. K. Gujral Punjab technical University, Kapurthala, Punjab (India) in 2017.   In his Ph.D. research work, he has developed a novel nature-inspired algorithm namely, Butterfly Optimization Algorithm (BOA) that mimics food search and mating behavior of butterflies.
He is currently working as Assistant Professor in DAV University, Jalandhar. His fields of special interest include Nature Inspired Algorithms, Artificial Neural Networks, Fuzzy Logic and Engineering Design Problems. He has published several research papers in reputed International Journals and Conferences with over 150 citations (as per Google scholar).


Important Dates

Abstract submission:          April 4 2018
Notification and Registration opens:    May 6 2018
Camera-ready deadline:     June 10 2018

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