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View article: A nnU-Net-based automatic segmentation of FCD type II lesions in 3D FLAIR MRI images
A nnU-Net-based automatic segmentation of FCD type II lesions in 3D FLAIR MRI images Open
Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for successful surgery and seizure control…
View article: A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve QuadraticAssignment Problem
A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve QuadraticAssignment Problem Open
Grey Wolf Optimizer (GWO) is one of the popular swarm intelligence -based algorithms inspired bythe hunting behavior of wolves which is emerging as a robust candidate for addressing NP-hard problems.The Quadratic Assignment Problem (QAP) i…
View article: Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions
Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions Open
Machine learning (ML) is a rapidly evolving technology with expanding applications across various fields. This paper presents a comprehensive survey of recent ML applications in agriculture for sustainability and efficiency. Existing revie…
View article: Analysis of Marine Predators Algorithm using BIAS toolbox and Generalized Signature Test
Analysis of Marine Predators Algorithm using BIAS toolbox and Generalized Signature Test Open
The Marine Predators Algorithm (MPA) is a prominent Nature-Inspired Optimization Algorithm (NIOA) that has garnered significant research interest due to its effectiveness. It draws inspiration from the foraging behaviors of marine predator…
View article: Circle Packing Problem Using Nature-Inspired Optimization Techniques
Circle Packing Problem Using Nature-Inspired Optimization Techniques Open
This paper deals with the problem of circle packing, in which the largest radii circle is to be fit in a confined space filled with arbitrary circles of different radii and centers. A circle packing problem is one of a variety of cutting a…
View article: Installation of Smog-Free Towers Using Novel Real Coded Genetic Algorithm
Installation of Smog-Free Towers Using Novel Real Coded Genetic Algorithm Open
The circle packing problem involves finding the best way to place non-overlapping circles within a given space, while the smog-free tower installation problem aims to minimize the exposure of residents to secondhand smog by identifying the…
View article: Ensemble Laplacian Biogeography-Based Sine Cosine Algorithm for Structural Engineering Design Optimization Problems
Ensemble Laplacian Biogeography-Based Sine Cosine Algorithm for Structural Engineering Design Optimization Problems Open
In this paper, an ensemble metaheuristic algorithm (denoted as LX-BBSCA) is introduced. It combines the strengths of Laplacian Biogeography-Based Optimization (LX-BBO) and the Sine Cosine Algorithm (SCA) to address structural engineering d…
View article: A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve Quadratic Assignment Problem
A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve Quadratic Assignment Problem Open
Grey Wolf Optimizer (GWO) is one of the popular swarm intelligence-based algorithms that derived its inspiration from the hunting behaviour of wolves. GWO has been found quite an effective algorithm for solving various optimization problem…
View article: LX-BBSCA: Laplacian biogeography-based sine cosine algorithm for structural engineering design optimization
LX-BBSCA: Laplacian biogeography-based sine cosine algorithm for structural engineering design optimization Open
In this paper, an ensemble metaheuristic algorithm (denoted as LX-BBSCA) is introduced. It combines the strengths of Laplacian biogeography-based optimization (LX-BBO) and the sine cosine algorithm (SCA) to address structural engineering …
View article: Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization
Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization Open
Particle Swarm Optimization (PSO) is a swarm intelligence optimization method inspired from birds' flocking or fish schooling. Many improved versions of PSO are reported in literature, including some by the authors. Original as well as imp…
View article: Random walk grey wolf optimizer for constrained engineering optimization problems
Random walk grey wolf optimizer for constrained engineering optimization problems Open
Swarm intelligence is one of the most promising area of numerical optimization to solve real‐world optimization problems. Grey wolf optimizer (GWO), which is based on leadership hierarchy of grey wolves, is one of the relatively new algori…
View article: Novel hybridised variants of gravitational search algorithm for constraint optimisation
Novel hybridised variants of gravitational search algorithm for constraint optimisation Open
In an earlier paper, the authors proposed three new hybridised variants of gravitational search algorithm and real coded genetic algorithms for unconstrained optimisation problems, by hybridising GSA with Laplace crossover and power mutati…
View article: Real Coded Genetic Algorithm Operators Embedded in Gravitational Search Algorithm for Continuous Optimization
Real Coded Genetic Algorithm Operators Embedded in Gravitational Search Algorithm for Continuous Optimization Open
The objective of this paper is to propose three modified versions of the Gravitational Search Algorithm for continuous optimization problems. Although the Gravitational Search Algorithm is a recently introduced promising memory-less heuris…