Recently, meta-heuristic algorithms have made remarkable progress in solving types of
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …

The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …

This study proposes improved tunicate swarm algorithm (ITSA) for solving and optimizing
the dynamic economic emission dispatch (DEED) problem. The DEED optimization target is …

In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …

Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …

A novel parameter-free meta-heuristic optimization algorithm known as the golden ratio
optimization method (GROM) is proposed. The proposed algorithm is inspired by the golden …

Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …

Density-based spatial clustering of applications with noise (DBSCAN) is a typical kind of
algorithm based on density clustering in unsupervised learning. It can cluster data of …

The structural dynamic response predominantly depends upon natural frequencies which
fabricate these as a controlling parameter for dynamic response of the truss. However, truss …

Fog computing paradigm attempts to provide diverse processing at the edge of IoT networks.
Energy usage being one of the important elements that may have a direct influence on the …