A survey on GPU-based implementation of swarm intelligence algorithms
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs)
have been developed and widely used for solving optimization problems. When applied to …
have been developed and widely used for solving optimization problems. When applied to …
A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis
Deformable models are segmentation techniques that adapt a curve with the goal of
maximizing its overlap with the actual contour of an object of interest within an image. Such …
maximizing its overlap with the actual contour of an object of interest within an image. Such …
A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends
Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
Heat transfer search (HTS): a novel optimization algorithm
VK Patel, VJ Savsani - Information sciences, 2015 - Elsevier
In this paper, a new metaheuristic optimization algorithm based on the law of
thermodynamics and heat transfer is introduced. In the proposed algorithm, the search …
thermodynamics and heat transfer is introduced. In the proposed algorithm, the search …
An improved differential evolution algorithm with triangular mutation for global numerical optimization
AW Mohamed - Computers & Industrial Engineering, 2015 - Elsevier
This paper presents an Improved Differential Evolution (IDE) algorithm for solving global
numerical optimization problems over continuous space. The proposed algorithm introduces …
numerical optimization problems over continuous space. The proposed algorithm introduces …
Investigation of vision-based underwater object detection with multiple datasets
In this paper, we investigate the potential of vision-based object detection algorithms in
underwater environments using several datasets to highlight the issues arising in different …
underwater environments using several datasets to highlight the issues arising in different …
Economic optimization design for shell-and-tube heat exchangers by a Tsallis differential evolution
EH de Vasconcelos Segundo, AL Amoroso… - Applied Thermal …, 2017 - Elsevier
This paper presents an optimization of shell-and-tube heat exchangers (STHEs) considering
as objective function the minimization of the total annual cost by Differential Evolution (DE) …
as objective function the minimization of the total annual cost by Differential Evolution (DE) …
Application of evolutionary and swarm optimization in computer vision: a literature survey
Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …
solving combinatorial and NP-hard optimization problems in various research fields …
A review and an approach for object detection in images
KU Sharma, NV Thakur - International Journal of …, 2017 - inderscienceonline.com
An object detection system finds objects of the real world present either in a digital image or
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
Homonuclear molecules optimization (HMO) meta-heuristic algorithm
A Mahdavi-Meymand, M Zounemat-Kermani - Knowledge-Based Systems, 2022 - Elsevier
This study introduces a novel meta-heuristic algorithm known as Homonuclear Molecules
Optimization (HMO) for optimizing complex and nonlinear problems. HMO is inspired by the …
Optimization (HMO) for optimizing complex and nonlinear problems. HMO is inspired by the …