Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization

S Kaur, LK Awasthi, AL Sangal, G Dhiman - Engineering Applications of …, 2020 - Elsevier
This paper introduces a bio-inspired metaheuristic optimization algorithm named Tunicate
Swarm Algorithm (TSA). The proposed algorithm imitates jet propulsion and swarm …

A novel algorithm for global optimization: rat swarm optimizer

G Dhiman, M Garg, A Nagar, V Kumar… - Journal of Ambient …, 2021 - Springer
This paper presents a novel bio-inspired optimization algorithm called Rat Swarm Optimizer
(RSO) for solving the challenging optimization problems. The main inspiration of this …

Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems

G Dhiman, V Kumar - Knowledge-based systems, 2019 - Elsevier
This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm
(SOA) for solving computationally expensive problems. The main inspiration of this algorithm …

MOSOA: A new multi-objective seagull optimization algorithm

G Dhiman, KK Singh, M Soni, A Nagar… - Expert Systems with …, 2021 - Elsevier
This study introduces the extension of currently developed Seagull Optimization Algorithm
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …

BEPO: A novel binary emperor penguin optimizer for automatic feature selection

G Dhiman, D Oliva, A Kaur, KK Singh, S Vimal… - Knowledge-Based …, 2021 - Elsevier
Abstract Emperor Penguin Optimizer (EPO) is a metaheuristic algorithm which is recently
developed and illustrates the emperor penguin's huddling behaviour. However, the original …

Emperor penguin optimizer: a bio-inspired algorithm for engineering problems

G Dhiman, V Kumar - Knowledge-Based Systems, 2018 - Elsevier
This paper proposes a novel optimization algorithm, called Emperor Penguin Optimizer
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …

STOA: a bio-inspired based optimization algorithm for industrial engineering problems

G Dhiman, A Kaur - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
This paper presents a bio-inspired algorithm called Sooty Tern Optimization Algorithm
(STOA) for solving constrained industrial problems. The main inspiration of this algorithm is …

A comparative study of fuzzy optimization through fuzzy number

R Kumar, G Dhiman - International Journal of Modern Research, 2021 - ijmore.co.in
This paper presents a model for analyzing fuzzy reliability of the system using fuzzy number
mathematical operation, where a triangular fuzzy number represents the stability of each …

A novel content-based image retrieval approach for classification using GLCM features and texture fused LBP variants

M Garg, G Dhiman - Neural Computing and Applications, 2021 - Springer
This paper presents a content-based image retrieval technique that focuses on extraction
and reduction in multiple features. To obtain multi-level decomposition of the image by …

ESA: a hybrid bio-inspired metaheuristic optimization approach for engineering problems

G Dhiman - Engineering with Computers, 2021 - Springer
In this paper, a hybrid bio-inspired metaheuristic optimization approach namely emperor
penguin and salp swarm algorithm (ESA) is proposed. This algorithm imitates the huddling …