Results 51 to 60 of about 28,586 (232)

Optimizing Ontology Alignment through Improved NSGA-II

Discrete Dynamics in Nature and Society, 2020
Over the past decades, a large number of complex optimization problems have been widely addressed through multiobjective evolutionary algorithms (MOEAs), and the knee solutions of the Pareto front (PF) are most likely to be fitting for the decision maker
Yikun Huang, Xingsi Xue, Chao Jiang
doaj   +1 more source

Computing the set of Epsilon-efficient solutions in multiobjective space mission design [PDF]

, 2011
In this work, we consider multiobjective space mission design problems. We will start from the need, from a practical point of view, to consider in addition to the (Pareto) optimal solutions also nearly optimal ones.
Carlos A. Coello Coello, Coello Coello C. A., Deb K., Deb K., Goldberg D. E., Izzo D., Massimiliano Vasile, Oliver Schutze, Pareto V., Petropoulos Longuski A. E., Schütze O., Vasile M.   +11 more
core   +1 more source

Compact NSGA-II for Multi-objective Feature Selection

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
Feature selection is an expensive challenging task in machine learning and data mining aimed at removing irrelevant and redundant features. This contributes to an improvement in classification accuracy, as well as the budget and memory requirements for classification, or any other post-processing task conducted after feature selection.
Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli   +2 more
openaire   +2 more sources

2-Phase NSGA II: An Optimized Reward and Risk Measurements Algorithm in Portfolio Optimization

Algorithms, 2017
Portfolio optimization is a serious challenge for financial engineering and has pulled down special attention among investors. It has two objectives: to maximize the reward that is calculated by expected return and to minimize the risk. Variance has been
Seyedeh Elham Eftekharian, Mohammad Shojafar, Shahaboddin Shamshirband   +2 more
doaj   +1 more source

A Multi-Objective Optimization Model Using Improved NSGA-II for Optimizing Metal Mines Production Process

IEEE Access, 2020
Production process optimization is an indispensable step in industrial production. The optimization of the metal mines production process (MMPP) can increase production efficiency and thus promote the utilization rate of the metal mineral resources in ...
Xiaowei Gu, Xunhong Wang, Zaobao Liu, Wenhua Zha, Xiaochuan Xu, Minggui Zheng   +5 more
doaj   +1 more source

Comparing Low and High-Level Hybrid Algorithms on the Two-Objective Optimal Design of Water Distribution Systems [PDF]

, 2014
The final publication is available at Springer via http://dx.doi.org/10.1007/s11269-014-0823-8This paper presents the comparison of two hybrid methodologies for the two-objective (cost and resilience) design of water distribution systems.
Creaco, Enrico, Franchini, Marco, Kapelan, Zoran, Savic, Dragan, Wang, Qi   +4 more
core   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Evaluation of Landslide Susceptibility Based on Multi-objective Optimization Method

Shuitu Baochi Xuebao
[Objective] In the landslide susceptibility assessment, the selection and optimization of the landslide prediction model are very important to the efficiency of the calculation process and the accuracy of the prediction results.
ZHANG Xingcun, JIANG Yulin, WANG Yujie, QI Zihan, WANG Yunqi   +4 more
doaj   +1 more source

ارزیابی الگوریتم‌های ژنتیک و ازدحام ذرات با تکیه بر رویکرد مرتب‌سازی نامغلوب برای بهینه‌سازی چندهدفه بهره‌برداری از مخازن [PDF]

پژوهش‌های حفاظت آب و خاک, 2019
مسائل بهینه‌سازی بهره‌برداری از مخازن سدها از جمله مسائل مهم در علوم آب می باشد که تا کنون با انواع روش های بهینه‌سازی مورد بررسی قرار گرفته است. در سال‌های اخیر تعداد زیادی از الگوریتم‌های تکاملی چندهدفه معرفی شده است. از جمله این الگوریتم‌ها می‌توان به
ایدا شبانی بهلولی, مهدی دستورانی   +1 more
doaj   +1 more source