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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Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities
TL;DR: This paper first presents the unique features of MCS allocation compared to generic crowdsourcing, and then provides a comprehensive review for diversifying problem formulation and allocation algorithms together with future research opportunities.
Journal ArticleDOI
From solar constraints to urban design opportunities: Optimization of built form typologies in a Brazilian tropical city
TL;DR: In this article, the authors address the twofold sustainable energy challenge of tropical cities: the major potential in harnessing solar energy as renewable resource for local electricity production and the energy demand due to the undesirable solar heat gains in buildings.
Journal ArticleDOI
Energy-Aware Resource Allocation for Cooperative Cellular Network Using Multi-Objective Optimization Approach
TL;DR: This paper proposes user selection and power allocation schemes for a multi-user, multi-relay cooperative cellular system in order to minimize the cost of transmission and presents an algorithm to enhance fairness among users in these schemes.
Journal ArticleDOI
A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty
TL;DR: The last aim of the resulting multi-objective mixed integer linear programming is to minimize the total day-ahead cost of the system, in which the objective functions are the total cost of heat and power co-generation, and the total emissions cost.
Journal ArticleDOI
A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem
Rosita Guido,Domenico Conforti +1 more
TL;DR: A multi-objective integer linear programming model aiming at efficiently planning and managing hospital operating room suites and could represent a suitable engine for the development of advanced and effective health care management decision support systems.
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.