|
|
|
|
|
Andrej Jedik,Virginia Namiotko
Pág. 128 - 135
|
|
|
|
|
|
|
|
|
|
|
Young Hwan Choi and Joong Hoon Kim
This study compares the performance of self-adaptive optimization approaches in efficient water distribution systems (WDS) design and presents a guide for the selection of the appropriate method employing optimization utilizing the characteristic of each...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rick Jaeger, Carolyn Jacobs, Katharina Tondera and Neil Tindale
This study investigated different approaches to optimize flows in misaligned culverts. Structures aligned with the natural stream are always preferred, as misalignments cause a change of direction at the culvert inlet associated with lower performance an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tomé Sicuaio, Pengxiang Zhao, Petter Pilesjo, Andrey Shindyapin and Ali Mansourian
Land use allocation (LUA) is of prime importance for the development of urban sustainability and resilience. Since the process of planning and managing land use requires balancing different conflicting social, economic, and environmental factors, it has ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wendimu Fanta Gemechu, Wojciech Sitek and Gilmar Ferreira Batalha
|
|
|
|
|
|
|
|
|
|
|
Xin Liao and Khoi D. Hoang
Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely used in multi-agent collaborative modeling. The traditional DCOP framework assumes that variables are discrete and constraint utilities are represented in tabular form...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shoffan Saifullah and Rafal Drezewski
Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preproc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuanxiang Song, Seong-Yoon Shin and Kwang-Seong Shin
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly enha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Boqian Ji, Jun Huang, Xiaoqiang Lu, Yacong Wu and Jingjiang Liu
The wing aerodynamic shape optimization is a typical high-dimensional problem with numerous independent design variables. Researching methods to reduce the dimensionality of optimization from the perspective of aerodynamic characteristics is necessary. O...
ver más
|
|
|
|
|
|