The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

With the rapid development of logistics industry, vehicle scheduling is the key to the
optimization of transportation links. Vehicle transportation route planning is becoming more …

Nowadays organizations outsource transportation of goods or services to reduce cost which
leads to a particular type of problem called open location-routing. Also, each logistic …

Abstract The recently introduced Marine Predators Algorithm (MPA) exhibits competitive
performance in solving optimization problems. However, it often prematurely converges due …

In India, a densely populated country, fossil fuel depletion affects the energy sector that fulfils
the industrial and human needs. Concerning greenhouse gas emissions and pollutants, and …

An intelligent fault-tolerant control (FTC) strategy is proposed to resolve the power loss
problem for the multi-thruster system fault of the manned submarine. The proposed FTC is …

Reporting the empirical results of swarm and evolutionary computation algorithms is a
challenging task with many possible difficulties. These difficulties stem from the stochastic …

The recent proliferation of population-based meta-heuristics designed for solving
optimization problems and their successes confirm that more promising techniques inspired …

A model predictive cascade controller is proposed in this article to resolve the actuator
saturation problem of underwater human‐occupied vehicle (HOV) trajectory tracking. For the …

A fixed‐time traffic control system is widely used to manage the traffic flow at intersections.
Cycle length has an important effect on the performance of the fixed‐time control system and …