Results 61 to 70 of about 4,635,823 (252)

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

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

Addressing the 5G cell switch-off problem with a multi-objective cellular genetic algorithm [PDF]

, 2018
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Luna, Francisco, Luque-Baena, Rafael Marcos, Martínez, Jesús, Padilla, Pablo, Valenzuela-Valdés, Juan Francisco   +4 more
core   +1 more source

Optimization of an appointment scheduling problem for healthcare systems based on the quality of fairness service using whale optimization algorithm and NSGA-II

Scientific Reports, 2021
Effective appointment scheduling (EAS) is essential for the quality and patient satisfaction in hospital management. Healthcare schedulers typically refer patients to a suitable period of service before the admission call closes. The appointment date can
A. Ala, F. Alsaadi, M. Ahmadi, Seyedali Mirjalili   +3 more
semanticscholar   +1 more source

Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC

Advanced Robotics Research, EarlyView.
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang, Jianyang Dong, Yongming Yao, Kaijin Hu, Jianxiong Cui, Yikai Luo, Jiawen Zhang, Shichao Niu   +7 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

Multi-Objective Big Data Optimization with jMetal and Spark [PDF]

, 2017
Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal, AW McNabb, C Coello, E Kitzler, G Luque, JA Cordero, JJ Durillo, K Deb, KB Tannahill, R Lammel, SA Thomas, Z Zhou   +11 more
core   +1 more source

Improved NSGA-II algorithms for multi-objective biomarker discovery

Bioinformatics, 2022
AbstractMotivationIn modern translational research, the development of biomarkers heavily relies on use of omics technologies, but implementations with basic data mining algorithms frequently lead to false positives. Non-dominated Sorting Genetic Algorithm II (NSGA2) is an extremely effective algorithm for biomarker discovery but has been rarely ...
Luca Cattelani, Vittorio Fortino
openaire   +2 more sources

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

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