Designing building automation systems using evolutionary algorithms with semi-directed variations

Oezluek, A. Cemal; Ploennigs, Joern; Kabitzsch, Klaus

doi:10.1109/icsmc.2010.5641996

Cited by 13 publications

(9 citation statements)

References 10 publications

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“…1, problem-specific crossover operations or mutations can be applied that select one or several software-modules and replace them by other ones with the matching set of covered function blocks. For details of variation concepts, readers are referred to [4]. Any further problem-specific crossover and mutation can be designed and added to the lists crossoverPerformers and mutators.…”

Section: Output Components (Gray Boxes Right To Optimizationmentioning

confidence: 99%

“…Hereby, function blocks have to be optimally assigned to the realizing software-modules in prefabricated devices of different manufacturers. This problem is a combinatorial optimization problem, since the solutions are represented based In a previous work [4], we have presented a solution approach for design problem of that uses an evolutionary algorithm with problem-specific representation and operations. In a current work, we are extending our approach for the integration of wireless nodes of BA systems to design optimal hybrid systems which also requires solutions for generation of optimal designs with wired and wireless nodes.…”

Section: Introductionmentioning

confidence: 99%

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A generic framework for synthesis and optimization of system designs in the example of building automation systems

Oezluek

Ploennigs

Kabitzsch

2010

2010 IEEE 15th Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2010)

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This paper introduces a generic framework that is designed to solve complex system design problems by means of optimization approaches. The framework design is made up of components that are responsible for distinct tasks that communicate by extension points. These extension points are for problem specification and setup, different algorithm workflows, display of plots, optimization statistics, display and export of solutions based on a specified representation, and automated performance analysis. Due to the component-based design, the framework allows the definition of customized problem representations with corresponding problem-specific algorithm operations and different solving algorithms, algorithm operations with a flexible execution order by inheritance property. The framework is tested to solve the design problem of building automation systems with different algorithms and problem-specific algorithm operations to compute optimized system designs.

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Section: Output Components (Gray Boxes Right To Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A generic framework for synthesis and optimization of system designs in the example of building automation systems

Oezluek

Ploennigs

Kabitzsch

2010

2010 IEEE 15th Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2010)

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“…The device selection and composition bases on an Evolutionary Optimization approach [19], which uses an ontology-based device repository for the retrieval of requirement-compliant and interoperable devices. The multi-objective optimization approach evolves several candidates in parallel and evaluates them by the compliance with the requirements, interoperability, and price.…”

Section: Automated System Design For Installation Plan-mentioning

confidence: 99%

Holistic design of wireless building automation systems

et al. 2011

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Wireless building automation systems are gaining momentum as they promise an easy installation in old and new buildings. But, the design of wireless building automation systems is still an extensive manual process with little to no tool support. In result, the system commissioning ends in trial-and-error set-ups to identify interoperable devices, to solve issues with wireless signal propagation and to understand energy problems of nodes. This paper introduces a holistic design approach that addresses these common issues in wireless building automation system design. It takes up novel design concepts and tools from wired system design and combines them in a holistic tool environment that supports the engineer in his common work flow to efficiently design reliable wireless building automation systems.

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“…If this variety is considered, task for creation of optimal designs for given functional requirements (design creation problem) is a highly complex problem that has successfully been solved by our previous approach in [3] based on a problem-specific multiobjective combinatorial optimization method using evolutionary algorithms. Design creation problem concerns finding optimized detailed design solutions for a given abstract design (cf.…”

Section: Introductionmentioning

confidence: 99%

A domain-inspired hyperheuristic for solving complex design problems of automation systems

Oezluek

Kabitzsch

2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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Automation systems comprise often huge and complex communication networks which save resources such as energy, time, capital and effort for humans. Design of automation systems is often a highly complex problem. For creation of optimal building automation system design, if component variety on the market is considered, there emerge many trade-off design solutions. In our previous work high quality design solutions could be obtained by proposed problem-specific adaptations of multi-objective metaheuristics. In this paper, we propose a new domaininspired hyperheuristic approach to obtain the majority of optimal solutions in the true Pareto front that concerns evolving variation applications and selection operations.

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Designing building automation systems using evolutionary algorithms with semi-directed variations

Cited by 13 publications

References 10 publications

A generic framework for synthesis and optimization of system designs in the example of building automation systems

A generic framework for synthesis and optimization of system designs in the example of building automation systems

Holistic design of wireless building automation systems

A domain-inspired hyperheuristic for solving complex design problems of automation systems

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