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Institution

Thapar University

EducationPatiāla, Punjab, India
About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.


Papers
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Journal ArticleDOI
TL;DR: The purpose of this paper is to review the available information on various attributes of utilization of microbial and plant derived biomass and explores the possibility of exploiting them for heavy metal remediation.

1,466 citations

Journal ArticleDOI
TL;DR: The effect of recycled and waste plastic on bulk density, air content, workability, compressive strength, splitting tensile strength, modulus of elasticity, impact resistance, permeability, and abrasion resistance is discussed in this paper.

804 citations

Journal ArticleDOI
TL;DR: Various attempts to improve upon these properties like different processing routes, surface modifications have been inculcated in the paper to provide an insight into the extent of research and effort that has been put into developing a highly superior titanium orthopaedic implant.

711 citations

Journal ArticleDOI
TL;DR: The main concept behind this algorithm is the social relationship between spotted hyenas and their collaborative behavior and it is revealed that the proposed algorithm performs better than the other competitive metaheuristic algorithms.

676 citations

Journal ArticleDOI
TL;DR: Experimental results reveal that the proposed SOA algorithm is able to solve challenging large-scale constrained problems and is very competitive algorithm as compared with other optimization algorithms.
Abstract: This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm (SOA) for solving computationally expensive problems. The main inspiration of this algorithm is the migration and attacking behaviors of a seagull in nature. These behaviors are mathematically modeled and implemented to emphasize exploration and exploitation in a given search space. The performance of SOA algorithm is compared with nine well-known metaheuristics on forty-four benchmark test functions. The analysis of computational complexity and convergence behaviors of the proposed algorithm have been evaluated. It is then employed to solve seven constrained real-life industrial applications to demonstrate its applicability. Experimental results reveal that the proposed algorithm is able to solve challenging large-scale constrained problems and is very competitive algorithm as compared with other optimization algorithms.

632 citations


Authors

Showing all 3035 results

NameH-indexPapersCitations
Dana M. McTigue40805963
Venkatachalam Rajendran392515335
Agepati S. Raghavendra391846454
Subhasish Dey392204755
Amit Mishra384015735
Anil Kumar Verma383074498
Om Prakash Pandey374416403
Gurpreet Singh374206499
Pramod K. Bajpai351503592
Nidhi Gupta352664786
Pankaj Kumar342424096
M. Sudhakara Reddy341243966
Varenyam Achal34883962
Vijay Kumar331473811
Neeraj Kumar332377639
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022149
20211,237
20201,083
2019962
2018933