Artificial Immune System Based on Clonal Selection and Game Theory Principles for Multiobjective Optimization

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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“…IMGAMO is the approach, which take advantages of AIS and game theory and it is used to solve the problems of multiobjective optimization [42,43].…”

Section: Optimal Design System For Electrothermal Microactuatorsmentioning

confidence: 99%

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

2019

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“…Majority of these studies focus on 2 to 3 objectives, with many-objective situations rarely being considered. The experiment in (Jarosz and Burczynski, 2011) had extended the application to 5 objectives. However, the study of many-objective optimization with AIS is still rare.…”

Section: Ais-based Many-objective Optimization Algorithmmentioning

confidence: 99%

An Artificial Immune System-based Many-Objective Optimization Algorithm with Network Activation Scheme

Tsang

Lau

2013

Advances in Artificial Life, ECAL 2013

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In the research of multi-objective optimization algorithm, evolutionary algorithms have considered to be very successful tools. Artificial Immune System (AIS)-based algorithms as one of the viable alternative have also be widely developed in this domain. Over the years, researchers of evolutionary algorithms have extended their interest to many-objective situations; however works in AIS-based algorithms is rather scattered. This paper extends an AIS-based optimization algorithm to solve such many-objective optimization problems. The idea of ε-dominance and the holistic model of the immune network theory have been adopted to enhance the exploitation ability aiming for a quick convergence.

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Multi-Objective Optimization in Asynchronous Environments: An Evolutionary Game Theory Approach

Jarosz,

Marszałek

2024

2024 32nd International Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)

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Artificial Immune System Based on Clonal Selection and Game Theory Principles for Multiobjective Optimization

Cited by 3 publications

References 11 publications

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

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

An Artificial Immune System-based Many-Objective Optimization Algorithm with Network Activation Scheme

Multi-Objective Optimization in Asynchronous Environments: An Evolutionary Game Theory Approach

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