The permeability coefficient (k-value) of the soil is an important parameter used in civil engineering design roads, tunnels, dams, and other structures. However, determination k-value by experimental methods laboratory or field still costly time-consuming. Moreover, it requires special equipment care collection samples for study. Therefore, this study, we have proposed machine learning (ML) hy...

Unmanned aerial–aquatic vehicles are a new type of aircraft that can navigate in air and underwater. An unmanned rotorcraft (UAAR) is introduced to complete the task navigating between underwater, trajectory optimization problem for this focused on study. The dynamics four-axle with eight rotors operating underwater described. On basis, model established, wherein constraints control variables s...

Several problems in the domains of project management (PM) and operations research (OP) can be classified as optimization which are classically NP-Hard. One such highly important problem is resource constrained scheduling (RCPSP). The main aim this to find a schedule lowest optimum makespan complete project, involves well precedence constraints. But, being NP-Hard, RCPSP requires exponential co...

<p>Portfolio selection is among the most challenging processes that have recently increased interest of professionals in area. The goal mean-variance portfolio to maximize expected return with minimizing risk. Markowitz model was employed solve linear problem. However, due numerous constraints and complexities, problem so critical traditional models are insufficient provide efficient solu...

Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem. In a simple flow shop configuration, a job having ‘g’ operations is performed on ‘g’ operation centres (stages) with each stage having only one machine. If any stage contains more than one machine for providing alternate processing facility, then the problem...

Recent studies have witnessed remarkable merits of metaheuristic algorithms in optimization problems. Due to the significance early analysis thermal load energy-efficient buildings, this work introduces and compares four novel optimizer techniques—the firefly algorithm (FA), optics-inspired (OIO), shuffled complex evolution (SCE), teaching–learning-based (TLBO)—for an accurate prediction heatin...

Rapid industrial development and innovations in technology bring about the menace of congestion deregulated power systems (DPS). The transmission lines are continuously working under a stressed condition with reduced transfer capacity. In this situation, losses voltage deviations at load buses increased hence reduce system stability. To mitigate congestion, improving available capability (ATC) ...