Finding efficient solutions in robust multiple objective optimization with SOS-convex polynomial data
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Operations Research"
DOI: 10.1007/s10479-019-03216-z
Abstract: In this article, a mathematical programming problem under affinely parameterized uncertain data with multiple objective functions given by SOS-convex polynomials, denoting by (UMP), is considered; moreover, its robust counterpart, denoting by (RMP), is proposed by… read more here.
Keywords: sos convex; optimization; efficient solutions; multiple objective ... See more keywords
New concepts and an algorithm for multiobjective bilevel programming: optimistic, pessimistic and moderate solutions
Sign Up to like & getrecommendations! Published in 2019 at "Operational Research"
DOI: 10.1007/s12351-019-00534-9
Abstract: Bilevel optimization deals with hierarchical mathematical programming problems in which two decision makers, the leader and the follower, control different sets of variables and have their own objective functions subject to interdependent constraints. Whenever multiple… read more here.
Keywords: optimistic pessimistic; multiple objective; level; leader ... See more keywords
A New Method for Determining all Maximal Efficient Faces in Multiple Objective Linear Programming
Sign Up to like & getrecommendations! Published in 2017 at "Acta Mathematica Vietnamica"
DOI: 10.1007/s40306-015-0164-6
Abstract: Most of the known methods for finding the efficient set of a multiple objective linear programming (MOLP) problem are bottom-up search methods. Main difficulties of the known bottom-up search methods are to find all efficient… read more here.
Keywords: objective linear; multiple objective; bottom search; method ... See more keywords
A Human-Centered Comprehensive Measure of Take-Over Performance Based on Multiple Objective Metrics
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3233623
Abstract: For highly automated vehicles, effective take-over performance measures are essential for establishing quantitative take-over models and exploring approaches to improve take-over performance. However, there is a lack of comprehensive take-over performance measures that suitably combine… read more here.
Keywords: multiple objective; human centered; objective metrics; take performance ... See more keywords
Multiple-Objective Packet Routing Optimization for Aeronautical Ad-Hoc Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3202689
Abstract: Providing Internet service above the clouds is of ever-increasing interest and in this context aeronautical ad-hoc networking (AANET) constitutes a promising solution. However, the optimization of packet routing in large ad hoc networks is quite… read more here.
Keywords: inline formula; multiple objective; optimization; tex math ... See more keywords
Multiple objective crashworthiness optimization of circular tubes with functionally graded thickness via artificial neural networks and genetic algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/0954406215627181
Abstract: The objective of this paper is to develop a multiple objective optimization procedure for crashworthiness optimization of circular tubes having functionally graded thickness. The proposed optimization approach is based on finite element analyses for construction… read more here.
Keywords: neural networks; multiple objective; genetic algorithms; artificial neural ... See more keywords
Genetic algorithmic based approach for multiple-objective probabilistic fractional programming problem involving discrete random variables
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DOI: 10.1371/journal.pone.0274619
Abstract: This manuscript presents a technique for solving a multiple-objective probabilistic fractional programming problem with discrete random variables. A multiple-objective probabilistic mathematical model is constructed with fractional objectives. In the model, some parameters of coefficients and… read more here.
Keywords: programming problem; multiple objective; fractional programming; random variables ... See more keywords
VNM: An R package for finding multiple-objective optimal designs for the 4-parameter logistic model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Software"
DOI: 10.18637/jss.v083.i05
Abstract: A multiple-objective optimal design is useful for dose-response studies because it can incorporate several objectives at the design stage. Objectives can be of varying interests and a properly constructed multiple-objective optimal design can provide user-specified… read more here.
Keywords: package; vnm package; multiple objective; model ... See more keywords