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 …

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 …

Subtraction-average-based optimizer: A new swarm-inspired metaheuristic algorithm for solving optimization problems

P Trojovský, M Dehghani - Biomimetics, 2023 - mdpi.com
This paper presents a new evolutionary-based approach called a Subtraction-Average-
Based Optimizer (SABO) for solving optimization problems. The fundamental inspiration of …

[PDF][PDF] POA: Puzzle Optimization Algorithm.

FA Zeidabadi, M Dehghani - … Journal of Intelligent Engineering & Systems, 2022 - inass.org
Optimization plays a key role in various disciplines of science in order to achieve the optimal
solution among all available solutions. Innovation and contribution of this paper is in …

Darts game optimizer: A new optimization technique based on darts game

M Dehghani, Z Montazeri, H Givi, JM Guerrero… - International Journal of …, 2020 - vbn.aau.dk
In this paper, a novel game-based optimization technique entitled darts game optimizer
(DGO) is proposed. The novelty of this investigation is DGO designing based on simulating …

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 …

SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications

G Dhiman - Knowledge-Based Systems, 2021 - Elsevier
Abstract Chimp Optimization Algorithm (ChoA) is a recently developed meta-heuristic
approach which is inspired by the individual intelligence and sexual motivation of chimps. It …

EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization

G Dhiman, KK Singh, A Slowik, V Chang… - International Journal of …, 2021 - Springer
This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …

A review on machine-learning based code smell detection techniques in object-oriented software system (s)

A Kaur, S Jain, S Goel, G Dhiman - Recent Advances in …, 2021 - ingentaconnect.com
Background: Code smells are symptoms that something may be wrong in software systems
that can cause complications in maintaining software quality. In literature, there exist many …