The knapsack problem is one of the most widely researched NP-complete combinatorial optimization problems and has numerous practical applications. This paper proposes a quantum-inspired differential evolution algorithm with grey wolf optimizer (QDGWO) to enhance diversity convergence performance improve in high-dimensional cases for 0-1 problems. proposed adopts quantum computing principles suc...

This paper gives and analyses data-driven prediction models for the energy usage of appliances. Data utilized include readings temperature humidity sensors from a wireless network. The building envelope is meant to minimize demand or required power house independent appliance mechanical system efficiency. Approximating mapping function between input variables continuous output variable work reg...

Due to frequent drought events, increased water demand for agricultural production and limited, accurate estimation of reference evapotranspiration (ETo) is necessary developing crop irrigation schemes rational allocation regional resources. The extreme learning machine (ELM) was optimized using four biological heuristic algorithms, namely, Grey Wolf Optimizer (GWO-ELM), Moth-Flame Optimization...

PM2.5 is one of the main factors air pollution, so prediction great significance. For this reason, innovation priority discrete nonlinear gray model based on wolf optimization algorithm established, which principle in system principle. Try to optimize model, and use solve parameters. First, basic theory proposed. On basis, used improve cumulative generation sequence, with parameters defined. Fi...

At the current stage of integration renewable energy sources into power systems many countries, requirements for compliance with established technical characteristics are being applied to generation. One such requirement is installed capacity utilization factor, which extremely important optimally placing facilities based on and successful development energy. Efficient placement maximizes facto...