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
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Proceedings ArticleDOI
Hybrid Method of Two-Stage Stochastic and Robust Unit Commitment
TL;DR: A two-stage unit commitment (UC) method for power systems under load uncertainty is proposed, where one of the worst-case or expected operating costs is minimized with the other bounded above by a predefined value.
Posted Content
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments
TL;DR: This work presents a comparative evaluation of four population-based optimization algorithms for workflow scheduling in cloud-fog environments and shows that hybrid combination of the GA-PSO algorithm exhibits slightly better than the standard algorithms.
Book ChapterDOI
Exam Seating Allocation to Prevent Malpractice Using Genetic Multi-optimization Algorithm
TL;DR: In this paper, the authors argue that even a single case of examination malpractice can destroy an Examination body's credibility and even lead to costly and time-consuming legal proceedings, and that some examinees attempt to illegally gain an unfair advantage over other candidates by indulging in cheating and malpractice.
Journal ArticleDOI
Utilizing energy transition to drive sustainability in cold supply chains: a case study in the frozen food industry
TL;DR: In this paper , a cold supply chain (CSC) planning model that integrates the three pillars of sustainability into the decision-making process while accounting for the shift towards clean energy sources is developed.
Proceedings ArticleDOI
Forcasting Plant Growth Using Neural Network Time Series
TL;DR: Through observation it was found that plant plants observed for 30 days then using the neural network method to predict plant growth were found in 100 iterations at an iteration point of 9 stable plant models at point 3 so itwas found that the best plant model conditions were found.
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.