scholarly journals Markov Automata with Multiple Objectives

2017 ◽  
pp. 140-159 ◽  
Author(s):  
Tim Quatmann ◽  
Sebastian Junges ◽  
Joost-Pieter Katoen
Keyword(s):  
Multiple Objectives ◽  
Markov Automata

scholarly journals Markov automata with multiple objectives

2021 ◽  
Author(s):  
Tim Quatmann ◽  
Sebastian Junges ◽  
Joost-Pieter Katoen
Keyword(s):  
Multiple Objectives ◽  
Markov Automata

A Warranty Cost Estimation and Production Problem Using Multiple Objectives

1989 ◽  
Vol 8 (2) ◽  
pp. 55-70 ◽  
Author(s):  
Jayprakash G. Patankar ◽  
Amitava Mitra
Keyword(s):  
Cost Estimation ◽  
Multiple Objectives ◽  
Production Problem ◽  
Warranty Cost

scholarly journals Designing Strong Privacy Metrics Suites Using Evolutionary Optimization

2021 ◽  
Vol 24 (2) ◽  
pp. 1-35
Author(s):  
Isabel Wagner ◽  
Iryna Yevseyeva
Keyword(s):  
Optimization Problem ◽  
Evolutionary Optimization ◽  
Multiple Objectives ◽  
Shared Value ◽  
Vehicular Communications ◽  
Open Problems ◽  
Value Range ◽  
Genomic Privacy ◽  
Metaheuristic Optimization Algorithms ◽  
Selection Of

The ability to measure privacy accurately and consistently is key in the development of new privacy protections. However, recent studies have uncovered weaknesses in existing privacy metrics, as well as weaknesses caused by the use of only a single privacy metric. Metrics suites, or combinations of privacy metrics, are a promising mechanism to alleviate these weaknesses, if we can solve two open problems: which metrics should be combined and how. In this article, we tackle the first problem, i.e., the selection of metrics for strong metrics suites, by formulating it as a knapsack optimization problem with both single and multiple objectives. Because solving this problem exactly is difficult due to the large number of combinations and many qualities/objectives that need to be evaluated for each metrics suite, we apply 16 existing evolutionary and metaheuristic optimization algorithms. We solve the optimization problem for three privacy application domains: genomic privacy, graph privacy, and vehicular communications privacy. We find that the resulting metrics suites have better properties, i.e., higher monotonicity, diversity, evenness, and shared value range, than previously proposed metrics suites.

scholarly journals Multi-Objective Service Selection and Scheduling with Linguistic Preference in Cloud Manufacturing

2019 ◽  
Vol 11 (9) ◽  
pp. 2619 ◽  
Author(s):  
Wei He ◽  
Guozhu Jia ◽  
Hengshan Zong ◽  
Jili Kong
Keyword(s):  
Service Management ◽  
Service Selection ◽  
Cloud Manufacturing ◽  
Multiple Objectives ◽  
Second Phase ◽  
Time Cost ◽  
Two Phase ◽  
Preference Information ◽  
Multi Objective ◽  
Service Selection And Scheduling

Service management in cloud manufacturing (CMfg), especially the service selection and scheduling (SSS) problem has aroused general attention due to its broad industrial application prospects. Due to the diversity of CMfg services, SSS usually need to take into account multiple objectives in terms of time, cost, quality, and environment. As one of the keys to solving multi-objective problems, the preference information of decision maker (DM) is less considered in current research. In this paper, linguistic preference is considered, and a novel two-phase model based on a desirable satisfying degree is proposed for solving the multi-objective SSS problem with linguistic preference. In the first phase, the maximum comprehensive satisfying degree is calculated. In the second phase, the satisfying solution is obtained by repeatedly solving the model and interaction with DM. Compared with the traditional model, the two-phase is more effective, which is verified in the calculation experiment. The proposed method could offer useful insights which help DM balance multiple objectives with linguistic preference and promote sustainable development of CMfg.

Deterministic multiprocessor scheduling with multiple objectives

1992 ◽  
Vol 19 (8) ◽  
pp. 743-749 ◽  
Author(s):  
Sheldon Epstein ◽  
Yonah Wilamowsky ◽  
Bernard Dickman
Keyword(s):  
Multiprocessor Scheduling ◽  
Multiple Objectives

Multiple objectives in environmental protection programs

1978 ◽  
Vol 9 (1) ◽  
pp. 87-96 ◽  
Author(s):  
John J. Dinkel ◽  
Joyce E. Erickson
Keyword(s):  
Environmental Protection ◽  
Multiple Objectives

Multiple objectives decomposition–coordination methods for hierarchical organizations

2001 ◽  
Vol 133 (2) ◽  
pp. 323-341 ◽  
Author(s):  
T. Gómez ◽  
M. González ◽  
M. Luque ◽  
F. Miguel ◽  
F. Ruiz
Keyword(s):  
Multiple Objectives ◽  
Hierarchical Organizations ◽  
Coordination Methods

scholarly journals Compositional strategy synthesis for stochastic games with multiple objectives

2018 ◽  
Vol 261 ◽  
pp. 536-587 ◽  
Author(s):  
N. Basset ◽  
M. Kwiatkowska ◽  
C. Wiltsche
Keyword(s):  
Stochastic Games ◽  
Multiple Objectives

Role of complementary and competitive relationships among multiple objectives in conservation investment decisions

2021 ◽  
Vol 131 ◽  
pp. 102569
Author(s):  
Young Gwan Lee ◽  
Gengping Zhu ◽  
Bijay P. Sharma ◽  
Burton C. English ◽  
Seong-Hoon Cho
Keyword(s):  
Investment Decisions ◽  
Multiple Objectives ◽  
Conservation Investment
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