Multispectral remote sensing images are the primary source in the land use and land cover
(LULC) monitoring. This is achieved by LULC classification and LULC change detection …

Segmentation and classification are two imperative, yet challenging tasks in image analysis
for remote-sensing applications. In the former, an image is divided into spatially continuous …

The Particle Swarm Optimization (PSO) Algorithm is a popular optimization method that is
widely used in various applications, due to its simplicity and capability in obtaining optimal …

Abstract Common Service Centers (CSCs), which are also known as Tele-centers and Rural
Kiosks, are important infrastructural options for any country aiming to provide E-Governance …

Biogeography-based optimization (BBO) inherently lacks exploration capability that leads to
slow convergence. To address this limitation, authors present a memetic algorithm (MA) …

Nature inspired meta-heuristic algorithms are an integral part of modern optimization
techniques. One such algorithm is bat algorithm which is inspired from echolocation …

Food security is a major problem faced today. With primitive storage facilities, especially in
developing countries, it often leads to extensive losses. This work aims to develop …

Complex systems are frequently found in modern industry. But with their multisubsystems,
multiobjectives, and multiconstraints, the optimization of complex systems is extremely hard …

This article proposes an exponential adjustment inertia weight immune particle swarm
optimization (EAIW-IPSO) to enhance the accuracy and reliability regarding the selection of …

An adaptive chaos particle swarm optimization (ACPSO) is presented in this paper to tune
the parameters of proportional‐integral‐derivative (PID) controller. To avoid the local …