As we all know, the filled function method as an effective algorithm to solve global optimization problems can overcome the defect that the non-linear algorithm is trapped in the local minimizer and cannot jump to attach the global minimizer, which has attracted the attention of researchers. However, when solving multi-dimensional global optimization problems, the filled function often lacks good properties such as mandatory, convexity and continuity, which makes the conventional filled function algorithm to always encounter the difficulty that its convergence cannot be guaranteed. In view of this, a novel convergent filled function algorithm for multi-dimensional global optimization is proposed. In this algorithm, by the way of the coordinates rotate, the multi-dimensional global optimization problem is transformed into several one-dimensional sub-problems, and then the new filled function with good properties is constructed to solve the one-dimensional sub-problem, which leads to attachment of the convergence in algorithm. Finally, compared with the existing algorithms on test optimization problems in NETLIB library, the effectiveness of the algorithm is verified by numerical experiments.

Because of its unique decentralization, encryption, reliability, and tamper‐proof, the block chain system makes smart contracts break through the shackles of the lack of trusted environment, and its application field keeps expanding. We read the source code and official documents of Bitcoin, Ethereum, and Hyperledger to explore the operation principle and implementation mode of smart contract. By analyzing the evolution process of smart contracts in blockchain and the sequence of its function expansion, according to the multirole business process of supply chain, we design a semipublic smart contract chain model based on Ethereum and Hyperledger in order to provide useful inspiration and help for the future research of smart contracts in blockchain applied in supply chain.

Blockchain technology provides a comprehensive solution to user access and energy trading for distributed energy Internet. Achieving market-based pricing, increasing the earnings of energy suppliers, attracting foreign capital and facilitating the upgrade of solar and wind energy are pressing issues. Drawing on the practices of centralised exchanges and blockchain cryptocurrency, the author designed the Cryptocurrency Energy Trading Platform (CETP), dividing the permissioned blockchain into the Energy Blockchain Platform (EBP) and the Energy Cryptocurrency Exchange (ECE). The frequently used real-time bidding scenario and the seldom-used power-using scenario are separated from each other. A market welfare model for real-time bidding is established and verified. With Energy Blockchain Cryptocurrency (EBC) as the trading medium, the platform allows external bidders to get involved in the bidding and transactions, which not only attracts the social capital to be used in the development of energy Internet but also helps stabilise the energy market prices, thus, advancing the energy Internet.