A new methodology for multi-objective multidisciplinary design optimization problems based on game theory

Xiao, Mi; Shao, Xinyu; Gao, Liang; Luo, Zhen

doi:10.1016/j.eswa.2014.09.047

Cited by 48 publications

(15 citation statements)

References 40 publications

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“…To improve the message selection method, further properties like message priority, security, routing strategy, and the message lifetime can also offer advantages in a network. Furthermore, the delivery performance and the utility of resources can be improved after applying the game theory mathematical model [62]. An acceptance decision for message custody based on a financial model was presented by Burleigh et al [63].…”

Section: B Opportunistic Network Schemesmentioning

confidence: 99%

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Liaqat

Ali

Qadir

et al. 2019

Future Generation Computer Systems

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Ad-hoc social networks (ASNETs) represent a special type of traditional ad-hoc network in which a user's social properties (such as the social connections and communications metadata as well as application data) are leveraged for offering enhanced services in a distributed infrastructureless environments. However, the wireless medium, due to limited bandwidth, can easily suffer from the problem of congestion when social metadata and application data are exchanged among nodes-a problem that is compounded by the fact that some nodes may act selfishly and not share its resources. While a number of congestion control schemes have been proposed for the traditional ad-hoc networks, there has been limited focus on incorporating social awareness into congestion control schemes. We revisit the existing traditional ad-hoc congestion control and data distribution protocols and motivate the need for embedding social awareness into these protocols to improve performance. We report that although some work is available in opportunistic network that uses sociallyaware techniques to control the congestion issue, this area is largely unexplored and warrants more research attention. In this regards, we highlight the current research progress and identify multiple future directions of research.

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Section: B Opportunistic Network Schemesmentioning

confidence: 99%

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Liaqat

Ali

Qadir

et al. 2019

Future Generation Computer Systems

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“…The shared design variables were mapped on probability distributions to enable a chief engineer to select designs that 1 meet the preferences of multiple domains. Lewis and Mistree [8] and more recently Xiao et al [9] demonstrated the merit of Game Theory approaches on multi-objective MDO problems, while others have demonstrated various bound reduction strategies [2,[10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Pattern Search Algorithm for Blackboard-Based Multidisciplinary Design Optimization Frameworks

Jelev

Keane

Holden

2019

Journal of Aircraft

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Preliminary aircraft design necessitates the use of a range of analysis tools, which are often scattered among many departments in an organisation and require regular tuning from skilled operators. For this reason, a distributed Multidisciplinary Design Optimisation approach that permits individual organisational domains to use their preferred analysis and optimisation tools would be most suitable. This paper revisits a Blackboard framework, which uses simple heuristics to automatically guide organisational design domains to a single optimum by narrowing the bounds on the shared design variables. The authors present a newly developed rule base for this legacy framework, which has been given the title "Multidisciplinary Pattern Search". Two examples, one of which is for conceptual transonic wing design, demonstrate the merit of the newly developed rule base, database and visualisation modules. They also serve as a means for comparisons with two established Multidisciplinary Design Optimisation architectures. The results indicate that the Blackboard performs better than the distributed Collaborative Optimisation approach, albeit worse than the monolithic Simultaneous Analysis and Design method that tends to be organisationally disruptive to implement.

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“…Furthermore, Naranje and Kumar (2014) developed a knowledge based system which was capable to facilitate all major activities for the design of deep drawing die, while Boudjelaba, Ros and Chikouche (2014) presented a novel hybrid genetic algorithm for the design of digital filters. In the same direction, Xiao et al (2015) focused on the design optimization problem and proposed a new method based on gene expression programming and Nash equilibrium.…”

Section: Product Line Design and Recent Variations Of The Problemmentioning

confidence: 99%

Optimizing differentiation and commonality levels among models in car line-ups: An empirical application of a nature-inspired heuristic mechanism

Saridakis

Tsafarakis

Delias

et al. 2015

Expert Systems with Applications

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The product life cycle of cars is becoming shorter and carmakers constantly introduce new or revised models in their lines, tailored to their customer needs. At the same time, new car model design decisions may have a substantial effect on the cost and revenue drivers. For example, although a new car model configuration with component commonality may lower manufacturing cost, it also hinders increased revenues that could have been achieved through product differentiation. This paper develops and illustrates a state of the art, nature-inspired approach, to design car lines that optimize the degree of differentiation vs commonality among models in the line. More specifically, we apply a swarm intelligence mechanism to stated preference data derived from a large-scale conjoint experiment that measures consumer preferences for passenger cars in a sample of 1,164 individuals. The proposed two-step methodology is also incorporated into a prototype system, which has been developed in an attempt to facilitate managerial decision making. Our approach provides interesting insights into how new and existing car models can be combined in a product line and identifies the desired balance between differentiation and commonality levels among models within a product line, which elevates customer satisfaction.

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A new methodology for multi-objective multidisciplinary design optimization problems based on game theory

Cited by 48 publications

References 40 publications

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Pattern Search Algorithm for Blackboard-Based Multidisciplinary Design Optimization Frameworks

Optimizing differentiation and commonality levels among models in car line-ups: An empirical application of a nature-inspired heuristic mechanism

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