The present paper aims to validate an electrical network study in consisting of conventional fossil fuel generators with the integration intermittent generation technologies based on renewable energy resources like wind power or solar photovoltaic (PV) are stochastic output. By using optimal flow (OPF) problem different frameworks developed for solving that represent various operating requireme...

Abstract The failure of rolling bearings affects the function and precision rotating machinery significantly, which has drawn lots attention in this field. Dealing with bearings, fault feature extraction is first most important problem. In work, we convert bearing signal into stochastic resonance dynamics equivalently. And, adaptive adopted to extract feature. addition, for industrial applicati...

Product reuse and recovery is an efficient tool that helps companies to simultaneously address economic environmental dimensions of sustainability. This paper presents a novel problem for stock management reusable products in single-vendor, multi-product, multi-retailer network. Several constraints, such as the maximum budget, storage capacity, number orders, etc., are considered their stochast...

In the mobile robot workplace, path planning problem is crucial. Robotic systems employ intelligence algorithms to plan robot's from one point another. This paper proposes fastest and optimal of wheeled with collision avoidance find route during navigation start target point. It done using a modern meta-heuristic hybrid algorithm called IPSOGWO by combining Improved Particle Swarm Optimization ...

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast displacements hydropower dams. In used create whereas algorithm employed search penalty and kernel parameters for SVR. this work, multiple-arch was selected as case study. To val...

Mismanagement of fresh water is a primary concern that negatively impacts agricultural productivity. Judicious use in agriculture possible by estimating the optimal requirement. The present practice crop requirements using reference evapotranspiration (ET0) values, which considered standard method. Hence, predicting ET0 vital allocating and managing available resources. In this study, different...

Biodiesel manufacturing from renewable feedstocks has received a lot of attention as viable alternative to fossil fuels. The Box-Behnken design, analysis variance (ANOVA), and the Grey Wolf Optimizer (GWO) algorithm were used in this work optimise biodiesel production Nahar oil. goal was determine best operating parameters for maximising yield. design is used, with four essential taken into acc...

The paper investigates the powerful of hybridizing two computational intelligence methods viz., Gray Wolf Optimization (GWO) and Artificial Neural Networks (ANN) for prediction of heart disease. Gray wolf optimization is a global search method while gradient-based back propagation method is a local search one. The proposed algorithm implies the ability of ANN to find a relationship between the ...