A Multi-objective Optimization Model for Information System Design

2012 ◽  
pp. 486-495
Author(s):  
Yi Liu ◽  
Fuzan Chen ◽  
Minqiang Li ◽  
Jisong Kou
Keyword(s):  
Information System ◽  
System Design ◽  
Optimization Model ◽  
Multi Objective Optimization ◽  
Information System Design ◽  
Multi Objective

scholarly journals Local energy system design support using a renewable energy mix multi-objective optimization model and a co-creative optimization process

2020 ◽  
Vol 156 ◽  
pp. 1278-1291 ◽  
Author(s):  
Keiko Hori ◽  
Jaegyu Kim ◽  
Reina Kawase ◽  
Michinori Kimura ◽  
Takanori Matsui ◽  
...  
Keyword(s):  
Renewable Energy ◽  
System Design ◽  
Optimization Model ◽  
Energy System ◽  
Optimization Process ◽  
Local Energy ◽  
Multi Objective Optimization ◽  
Design Support ◽  
Energy Mix ◽  
Multi Objective

scholarly journals Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1929
Author(s):  
Yongmao Xiao ◽  
Wei Yan ◽  
Ruping Wang ◽  
Zhigang Jiang ◽  
Ying Liu
Keyword(s):  
Optimization Model ◽  
Optimization Design ◽  
Design Method ◽  
Low Cost ◽  
Route Optimization ◽  
Low Carbon ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Blank Design ◽  
Process Route

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

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