The economic load dispatch (eld) problem strives to optimize the division of total power
demand among the power generators under specified constraints. It is solved by scheduling …

The environmental/economic dispatch (EED) problem, as one of the most important
optimization problems in power systems operations, is a highly constrained, nonlinear …

Data clustering is an important technique of data mining in which the objective is to partition
N data objects into K clusters that minimize the sum of intra‐cluster distances between each …

This research aims to understand how the Taliabo Village community utilizes the potential of
Sausu River rocks, identify the challenges faced by rock gatherers, and explore the socio …

Data clustering is a prevalent problem that belongs to the data mining domain. It aims to
partition the given data objects into some specified number of clusters based on the sum of …

Data clustering is a crucial machine learning technique that helps divide a given dataset into
many similar data objects where the data members resemble each other. It is an …

Nowadays, problems such as greenhouse effect and air pollution become increasingly
prominent. The power generation process should pay attention to the fuel cost and reduce …

文中提出了一种新的多目标海樽群优化算法, 将其与等式约束修正技术和可行解占优约束处理
技术相结合, 用于求解高度约束的电力系统环境经济优化调度问题. 该算法采用高斯采样策略和 …

Wind energy is becoming an increasingly substantial component of many nations' energy
portfolios. The intermittent nature of wind energy is traded off in a multi-objective sense …

\This comprehensive reference text discusses nature inspired algorithms and their
applications. It presents the methodology to write new algorithms with the help of MATLAB …