Results 71 to 80 of about 4,635,823 (252)

Constructing a Multi-Objective Optimization Model for Engineering Projects Based on NSGA-II Algorithm under the Background of Green Construction

Decision Making: Applications in Management and Engineering, 2023
In the context of Sustainability Development (SD), Green Construction (GC) has become a key direction for optimizing engineering project objectives. In order to improve the management ability of project engineering in GC, an improved NSGA - II algorithm ...
Fushun Zhang
semanticscholar   +1 more source

Improved Crowding Distance for NSGA-II

, 2018
EC course ...
Chu, Xiangxiang, Yu, Xinjie
openaire   +2 more sources

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Multi-objective optimization of active control system using population guidance and modified reference-point-based NSGA-II

Results in Control and Optimization
The optimization of the active control system is pivotal in achieving an acceptable performance level while minimizing control costs. The optimal location of actuators, efficient control force, and adequate vibration reduction are critical objectives in ...
Socio Jiwapatria, Herlien Dwiarti Setio, Indra Djati Sidi, Patria Kusumaningrum   +3 more
doaj   +1 more source

Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking

International Journal of Computational Intelligence Systems, 2016
We present a multi-objective evolutionary algorithm to exploit a medium-sized fuzzy outranking relation to derive a partial order of classes of alternatives (we call it RP-NSGA-II).
Juan Carlos Leyva López, Jesús Jaime Solano Noriega, Jorge Luis García Alcaraz, Diego Alonso Gastélum Chavira   +3 more
doaj   +1 more source

Experimental evaluation of meta-heuristics for multi-objective capacitated multiple allocation hub location problem

Engineering Science and Technology, an International Journal, 2022
Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic hub location problem, which deals with network design, considering both the number and the location of the hubs and the connections between hubs and
İbrahim Demir, Berna Kiraz, Fatma Corut Ergin   +2 more
doaj   +1 more source

A novel multi-objective evolutionary algorithm based on space partitioning [PDF]

, 2019
To design an e ective multi-objective optimization evolutionary algorithms (MOEA), we need to address the following issues: 1) the sensitivity to the shape of true Pareto front (PF) on decomposition-based MOEAs; 2) the loss of diversity due to paying so ...
F Gu, H Li, H Liu, H Sato, H Zhang, K Deb, K Deb, K Fang, Q Zhang, R Cheng, S Yang, S Yang, S Zhao, X Cai   +13 more
core   +1 more source

Economic and Environmental Tradeoffs in Cultivating Short Food Supply Chains With Urban Indoor Agriculture

Agribusiness, EarlyView.
ABSTRACT This study advances the literature on sustainable urban agriculture and alternative sustainable food production systems, which have gained momentum due to the need to strengthen regional food supply chains and meet the growing urban demand for fresh food. Indoor agriculture (IA) holds promise for year‐round cultivation of fresh produce even in
Joseph Seong, H. Christopher Peterson, Simone Valle de Souza   +2 more
wiley   +1 more source

An optimization method for nacelle design [PDF]

, 2017
A multi-objective optimiZation method is demonstrated using an evolutionary genetic algorithm. The applicability of this method to preliminary nacelle design is demonstrated by coupling it with a response surface model of a wide range of nacelle designs.
Heidebrecht, A., MacManus, David G., Robinson, M.   +2 more
core   +1 more source

Research on Multi-Objective Process Parameter Optimization Method in Hard Turning Based on an Improved NSGA-II Algorithm

Processes
To address the issue of local optima encountered during the multi-objective optimization process with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm, this paper introduces an enhanced version of the NSGA-II.
Zhengrui Zhang, Fei Wu, Aonan Wu
semanticscholar   +1 more source