On Structural Optimization

1983 ◽  
Vol 50 (4b) ◽  
pp. 1139-1151 ◽  
Author(s):  
N. Olhoff ◽  
J. E. Taylor
Keyword(s):  
Structural Optimization ◽  
Structural Design ◽  
Optimization Problems ◽  
Rapid Development ◽  
Mathematical Formulation ◽  
Future Research ◽  
Special Importance ◽  
Continuum Structures ◽  
Main Emphasis ◽  
Basic Concepts

This paper presents a survey of the field of optimal structural design, with the main emphasis laid on fundamental aspects. The basic concepts for structural optimization problems are outlined, and we discuss the mathematical formulation and the characteristic properties and features of such problems for both discrete and continuum structures. A picture of the present status of the field is given, and we present an assessment of areas that are currently of special importance and undergoing rapid development. Furthermore, we identify some types of problems that require particular care in their formulation, and we indicate issues for future research.

Robust Structural Design Optimization Under Non-Probabilistic Uncertainties

2011 ◽  
Author(s):  
Jiantao Liu ◽  
Hae Chang Gea ◽  
Ping An Du
Keyword(s):  
Structural Optimization ◽  
Design Optimization ◽  
Structural Design ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Global Optimality ◽  
Worst Case ◽  
Probabilistic Uncertainty ◽  
Structural Design Optimization

Robust structural design optimization with non-probabilistic uncertainties is often formulated as a two-level optimization problem. The top level optimization problem is simply to minimize a specified objective function while the optimized solution at the second level solution is within bounds. The second level optimization problem is to find the worst case design under non-probabilistic uncertainty. Although the second level optimization problem is a non-convex problem, the global optimal solution must be assured in order to guarantee the solution robustness at the first level. In this paper, a new approach is proposed to solve the robust structural optimization problems with non-probabilistic uncertainties. The WCDO problems at the second level are solved directly by the monotonocity analysis and the global optimality is assured. Then, the robust structural optimization problem is reduced to a single level problem and can be easily solved by any gradient based method. To illustrate the proposed approach, truss examples with non-probabilistic uncertainties on stiffness and loading are presented.

Optimal Structural Design in the USSR

1989 ◽  
Vol 42 (2) ◽  
pp. 27-37 ◽  
Author(s):  
Mark I. Reitman
Keyword(s):  
Structural Optimization ◽  
Optimum Design ◽  
Structural Design ◽  
Optimization Problems ◽  
Moving Loads ◽  
Mathematical Methods ◽  
3D Structures ◽  
Optimal Structural Design ◽  
Academic Researchers ◽  
Rigid Frames

Studies in structural optimization in Russia began more than a century ago and initially satisfied the needs of railroad engineering. Later Soviet academic researchers and engineers considered the optimum design of compressed and twisted bars, beams, arches, rigid frames, plates, shells, and various 3D structures under single and multiple statical, dynamical, and moving loads. Some new formulations of the optimization problems have been introduced and solved using classical and new mathematical methods. Several hundred contributions are briefly covered with references to 50 bibliographical sources.

Evolutionary Multi-Objective Optimization in Finance

2007 ◽  
pp. 74-89 ◽  
Author(s):  
C. A.C. Coello
Keyword(s):  
Evolutionary Algorithms ◽  
Optimization Problems ◽  
Short Description ◽  
Research Trends ◽  
Final Part ◽  
Future Research ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Basic Concepts

This chapter provides a brief introduction of the use of evolutionary algorithms in the solution of multi-objective optimization problems (an area now called “evolutionary multi-objective optimization”). Besides providing some basic concepts and a brief description of the approaches that are more commonly used nowadays, the chapter also provides some of the current and future research trends in the area. In the final part of the chapter, we provide a short description of the sort of applications that multi-objective evolutionary algorithms have found in finance, identifying some possible paths for future research.

Predictive Method for Economic Indicators of High-Rise Frame-Tube Structures

2013 ◽  
Vol 351-352 ◽  
pp. 619-625
Author(s):  
Jie Jiang Zhu ◽  
Lei Zhang ◽  
Yi Yun Peng
Keyword(s):  
Structural Optimization ◽  
Structural Design ◽  
Predictive Value ◽  
Optimization Design ◽  
Rapid Development ◽  
Economic Indicators ◽  
Budget Process ◽  
High Rise ◽  
Predictive Method ◽  
Steel Bar

With the rapid development of high-rise frame-tube office buidings in domestic large and medium-sized cities, it brings the problem about the study of quantities. Traditional structural design can meet the requirements of all kinds of standards, but it wastes materials, which is now taken seriously. Structural optimization design can save materials. This paper carries structural optimization design on eight high-rise frame-tube structures, and proposes a predictive method for concrete and steel-bar dosage of high-rise frame-tube structures after analysis. The predictive method makes it possible to predict the dosage before the structural design without the tedious budget process. The predictive value is economical and reasonable, and it can provide reference for structural design and construction in the future.

Predictive Method for Concrete Dosage of High-Rise Shear-Wall Structure Residence Buildings

2012 ◽  
Vol 446-449 ◽  
pp. 471-475 ◽  
Author(s):  
Jie Jiang Zhu ◽  
Xin Lu ◽  
Xi Feng Hong
Keyword(s):  
Structural Optimization ◽  
Structural Design ◽  
Predictive Value ◽  
Optimization Design ◽  
Rapid Development ◽  
Shear Wall ◽  
Wall Structure ◽  
High Rise ◽  
Predictive Method

With the rapid development of high-rise shear-wall structure residence buildings in domestic large and medium-sized cities, it brings the problem that traditional structural design wastes materials, which is now taken seriously. Structural optimization design can save materials more than 10% in general. This paper carries structural optimization design on eight shear-wall structure residence buildings, and proposes a predictive method for concrete dosage of high-rise shear-wall structure residence buildings after analysis. The predictive method makes it easier to obtain the concrete dosage, because it frees from the cumbersome process of engineering budget. The predictive value is economical and reasonable, and it can be used to guide structural design.

Enterprise distribution routing optimization with soft time windows based on genetic algorithm

2021 ◽  
pp. 1-11
Author(s):  
Kaixian Gao ◽  
Guohua Yang ◽  
Xiaobo Sun
Keyword(s):  
Genetic Algorithm ◽  
Customer Satisfaction ◽  
Optimization Problems ◽  
Rapid Development ◽  
Time Windows ◽  
Theory And Practice ◽  
Routing Problem ◽  
Logistics Industry ◽  
Routing Optimization ◽  
A Company

With the rapid development of the logistics industry, the demand of customer become higher and higher. The timeliness of distribution becomes one of the important factors that directly affect the profit and customer satisfaction of the enterprise. If the distribution route is planned rationally, the cost can be greatly reduced and the customer satisfaction can be improved. Aiming at the routing problem of A company’s vehicle distribution link, we establish mathematical models based on theory and practice. According to the characteristics of the model, genetic algorithm is selected as the algorithm of path optimization. At the same time, we simulate the actual situation of a company, and use genetic algorithm to plan the calculus. By contrast, the genetic algorithm suitable for solving complex optimization problems, the practicability of genetic algorithm in this design is highlighted. It solves the problem of unreasonable transportation of A company, so as to get faster efficiency and lower cost.

scholarly journals Operations management of smart logistics: A literature review and future research

2021 ◽  
Author(s):  
Bo Feng ◽  
Qiwen Ye
Keyword(s):  
Operations Management ◽  
Optimization Problems ◽  
Future Research ◽  
Information Communication ◽  
Logistics Industry ◽  
Smart Logistics ◽  
Promising Solution ◽  
Future Research Directions ◽  
Offline Channels ◽  
The Internet Of Things

AbstractThe global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

scholarly journals Robust neutrosophic programming approach for solving intuitionistic fuzzy multiobjective optimization problems

2021 ◽  
Author(s):  
Firoz Ahmad
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Problems ◽  
Practical Implication ◽  
Real Life ◽  
Future Research ◽  
Programming Approach ◽  
Solution Approach ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Multiobjective Optimization Problems

AbstractThis study presents the modeling of the multiobjective optimization problem in an intuitionistic fuzzy environment. The uncertain parameters are depicted as intuitionistic fuzzy numbers, and the crisp version is obtained using the ranking function method. Also, we have developed a novel interactive neutrosophic programming approach to solve multiobjective optimization problems. The proposed method involves neutral thoughts while making decisions. Furthermore, various sorts of membership functions are also depicted for the marginal evaluation of each objective simultaneously. The different numerical examples are presented to show the performances of the proposed solution approach. A case study of the cloud computing pricing problem is also addressed to reveal the real-life applications. The practical implication of the current study is also discussed efficiently. Finally, conclusions and future research scope are suggested based on the proposed work.

scholarly journals Algorithmic management in a work context

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110203
Author(s):  
Mohammad Hossein Jarrahi ◽  
Gemma Newlands ◽  
Min Kyung Lee ◽  
Christine T. Wolf ◽  
Eliscia Kinder ◽  
...  
Keyword(s):  
Information Exchange ◽  
Rapid Development ◽  
Machine Learning Algorithms ◽  
Organizational Level ◽  
Future Research ◽  
Power Dynamics ◽  
Work Processes ◽  
Work Settings ◽  
Standard Work ◽  
Management Functions

The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify three key issues. First, we explore how algorithmic management shapes pre-existing power dynamics between workers and managers. Second, we discuss how algorithmic management demands new roles and competencies while also fostering oppositional attitudes toward algorithms. Third, we explain how algorithmic management impacts knowledge and information exchange within an organization, unpacking the concept of opacity on both a technical and organizational level. We conclude by situating this piece in broader discussions on the future of work, accountability, and identifying future research steps.

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