A novel algorithm for global optimization: rat swarm optimizer
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 …
(RSO) for solving the challenging optimization problems. The main inspiration of this …
MOSOA: A new multi-objective seagull optimization algorithm
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 …
(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
Abstract Emperor Penguin Optimizer (EPO) is a metaheuristic algorithm which is recently
developed and illustrates the emperor penguin's huddling behaviour. However, the original …
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
This paper presents a new evolutionary-based approach called a Subtraction-Average-
Based Optimizer (SABO) for solving optimization problems. The fundamental inspiration of …
Based Optimizer (SABO) for solving optimization problems. The fundamental inspiration of …
[PDF][PDF] POA: Puzzle Optimization Algorithm.
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 …
solution among all available solutions. Innovation and contribution of this paper is in …
Darts game optimizer: A new optimization technique based on darts game
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 …
(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 …
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 …
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
This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …
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)
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 …
that can cause complications in maintaining software quality. In literature, there exist many …