Strategies of game theory for the automated optimal design in electromechanics

2008 ◽  
Vol 27 (4) ◽  
pp. 275-295 ◽  
Author(s):  
P. Di Barba
Keyword(s):  
Game Theory ◽  
Optimal Design

Multilevel Optimal Design of a Solar PV Array System Using Game Theory Approach

2019 ◽  
Author(s):  
Hoe-Gil Lee
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Optimal Design ◽  
System Level ◽  
Theory Approach ◽  
Solar Pv ◽  
Fixed Plate ◽  
Collector System ◽  
Cell Conversion ◽  
Conflicting Objectives

Abstract This study proposes a method, grounded in a multilevel decision-making approach, for a stationary fixed-plate photovoltaic (PV) collector system. The system is comprised of three different subsystems: cell, panel, and array. We consider photovoltaic effects for output performance and an inverter system for distribution from the PV collector, including multiple conflicting objectives in individual subsystems in terms of cell conversion efficiency, power output, incident solar energy, seasonal characteristics, and costs. In terms of the performance in individual subsystems, the problem is reformulated into several smaller subproblems at each subsystem, and a coordination problem at the system level is compromised for optimization purposes. Multilevel optimization for the stationary fixed-plate PV collector system is achieved through the results of single-objective optimization that uses Genetic Algorithm programming (GA) to find global optimum solutions with decision-making under modified game theory. Thus, this work contributes to the optimal design of a stationary fixed-plate PV collector system for the best compromise solution based on specified requirements.

scholarly journals Optimal Design of Electrothermal Microactuators for Many Criteria by Means of an Immune Game Theory Multiobjective Algorithm

2019 ◽  
Vol 9 (21) ◽  
pp. 4654 ◽  
Author(s):  
Adam Długosz ◽  
Paweł Jarosz ◽  
Tomasz Schlieter
Keyword(s):  
Game Theory ◽  
Optimal Design ◽  
The Novel ◽  
The Finite Element Method ◽  
Self Organizing Maps ◽  
Numerical Tests ◽  
Mechanical Field ◽  
Novel Method ◽  
Benchmark Test Functions ◽  
Pareto Fronts

The paper presents the application of the IMGAMO (immune game theory multiobective algorithm) in the optimal design of electrothermal microactuators. Several numerical tests on the mathematical benchmark test functions were performed, showing the superiority of the IMGAMO, when a large number of criteria are considered, in comparison to other multiobjective optimizers. A parametric numerical model of an electrothermal microactuaror was developed and verified. Six functionals, which depend on various thermal and mechanical quantities of the microactuator, were proposed, formulated and numerically implemented. These functionals represent real requirements asked of microactuators. The boundary-value problem of an electro-thermo-mechanical field was solved multiple times during the course of optimization by way of the finite element method (FEM). A numerical example of multiobjective optimization of chevron-type electrothermal actuators is included in the paper. Representation of the multi-dimensional Pareto fronts by means of scatter plot matrices, aided by self-organizing maps (SOMs), is presented. The novel method of selecting interesting, compromise-solutions is proposed and described.

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