Journal ArticleDOI
The weighted sum method for multi-objective optimization: new insights
TLDR
This paper investigates the fundamental significance of the weights in terms of preferences, the Pareto optimal set, and objective-function values and determines the factors that dictate which solution point results from a particular set of weights.Abstract:
As a common concept in multi-objective optimization, minimizing a weighted sum constitutes an independent method as well as a component of other methods. Consequently, insight into characteristics of the weighted sum method has far reaching implications. However, despite the many published applications for this method and the literature addressing its pitfalls with respect to depicting the Pareto optimal set, there is little comprehensive discussion concerning the conceptual significance of the weights and techniques for maximizing the effectiveness of the method with respect to a priori articulation of preferences. Thus, in this paper, we investigate the fundamental significance of the weights in terms of preferences, the Pareto optimal set, and objective-function values. We determine the factors that dictate which solution point results from a particular set of weights. Fundamental deficiencies are identified in terms of a priori articulation of preferences, and guidelines are provided to help avoid blind use of the method.read more
Citations
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Journal ArticleDOI
Maintenance strategy selection for optimum efficiency – application of AHP constant sum
TL;DR: The AHCSM approach provided a framework, which ranked the importance of factors that are sensitive to the construction industry and rank the suitability of maintenance strategies, which can inform gaps in existing maintenance approaches in achieving business objectives.
Proceedings ArticleDOI
Ranking of Alternatives for Emergency Routing on Urban Road Networks
Marko Woelki,Ting Lu,Sten Ruppe +2 more
TL;DR: Dijkstra’s k-shortest path algorithm is used in order to calculate shortest and fastest paths and finally finding an ordering of alternatives for multi-criteria routing.
Journal ArticleDOI
A Machine Learning Approach for Optimization of Channel Geometry and Source/Drain Doping Profile of Stacked Nanosheet Transistors
TL;DR: In this paper , a machine learning-based multi-objective optimization (MOO) workflow is proposed to optimize the sub-3nm node gate-all-around (GAA) three-layer-stacked nanosheet transistors (NSFETs) accounting for the key performance knob of channel geometry and S/D doping profile.
Journal ArticleDOI
A Solution Framework for Response Surface-Based Multiple Quality Characteristics Optimization
Sasadhar Bera,Indrajit Mukherjee +1 more
TL;DR: This paper contributes by providing a detailed step-by-step RS-based MRO solution framework based on process response surface (RS) models or without using process RS models for MRO problems.
Journal ArticleDOI
Application of hybrid heuristic technique for optimal shunt capacitors planning problem in radial distribution network
TL;DR: A hybrid HS–DE algorithm-based optimal node identification and sizing of shunt capacitors with an aim to enhance the performance of the radial distribution network and the result outcomes are compared with HSA, DE and other similar methods in the literature.
References
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Journal ArticleDOI
A Scaling Method for Priorities in Hierarchical Structures
TL;DR: A method of scaling ratios using the principal eigenvector of a positive pairwise comparison matrix is investigated, showing that λmax = n is a necessary and sufficient condition for consistency.
Book
Nonlinear Multiobjective Optimization
TL;DR: This paper is concerned with the development of methods for dealing with the role of symbols in the interpretation of semantics.
Journal ArticleDOI
Survey of multi-objective optimization methods for engineering
R.T. Marler,Jasbir S. Arora +1 more
TL;DR: A survey of current continuous nonlinear multi-objective optimization concepts and methods finds that no single approach is superior and depends on the type of information provided in the problem, the user's preferences, the solution requirements, and the availability of software.
Book
Multiple Criteria Optimization: Theory, Computation, and Application
TL;DR: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.
Book
Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey
Ching-Lai Hwang,Kwangsun Yoon +1 more
TL;DR: On MADM Methods Classification.