Differential evolution (DE) is a population-based metaheuristic search algorithm that
optimizes a problem by iteratively improving a candidate solution based on an evolutionary …

The boom of a semi submersible platform has large moment of inertia and high operating
cost. How to effectively achieve the optimal solution of the boom to minimize the design and …

为解决智慧原油管道建设实时优化的难题, 从节能降耗和运行安全2 个角度出发构建了以能耗和
不安全系数最小为优化目标的运行方案智能决策模型; 基于差分进化算法, 从变异决策变量越界 …

Energy management of virtual power plants (VPPs) directly affects operators' operating
profits and is also related to users' comfort and economy. In order to provide a reasonable …

Design constraints verification is the most computationally expensive task in evolutionary
structural optimization due to a large number of structural analyses that must be conducted …

Metaheuristic optimization algorithms are strongly present in the literature on discrete
optimization. They typically 1) use stochastic operators, making each run unique, and 2) …

Purpose The optimality objectives are the structure weight and embodied energy as well as
calculating the cost and embodied carbon of the resulting optimum options. Three optimality …

To solve the real-time optimization problem during the construction of intelligent crude oil
pipelines, an intelligent decision model of operation schemes with the optimization goals of …

In recent decades, bio-inspired numerical algorithms have emerged as an alternative for
optimizing the structural design of trusses. The differential evolution algorithm (DEA) has …

This paper explores the energy-intensive cement industry, focusing on a plant in Greece and
its mill and kiln unit. The data utilized include manipulated, non-manipulated, and …