Exploiting Similarity in Evolutionary Product Design for Improved Design Space Exploration

Müller, Luise; Neubauer, Kai; Haubelt, Christian

doi:10.1007/978-3-031-04580-6_3

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…execution times e and dynamic energy consumption de: 4 − − 1 Essentially, r 1 and r 3 can be seen as slightly more costly and energy-intensive resources with faster execution times, while r 2 and r 4 are less expensive but slower.…”

Section: System Synthesis Problemmentioning

confidence: 99%

“…To achieve the goal of retaining design decisions as much as possible, the similarity between different system implementations must be formally defined, even when specifications have been (slightly) changed. In a previous work, we have explored this issue and shown how to use an initially proposed similarity measure in an ad hoc AMTbased DSE [4]. Based on the first promising findings, we now systematically explore this topic in greater depth with a particular focus on the impact of alternative ASP techniques.…”

Section: Introductionmentioning

confidence: 97%

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Evolutionary System Design with Answer Set Programming

et al. 2023

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We address the problem of evolutionary system design (ESD) by means of answer set programming modulo difference constraints (AMT). The goal of this design approach is to synthesize new product variants or generations from existing products. We start by formalizing the underlying system synthesis problem and design space exploration process, which consists of finding the Pareto front with respect to latency, cost, energy, and similarity measures between the two designs. We then present AMT-based encodings to capture all of these aspects. The idea is to use plain ASP for conflict detection and resolution and for routing and to use difference constraints for scheduling. Moreover, we propose a new approach for expressing the similarity that we use at three alternative levels of AMT-based design space exploration, namely, at the strategic, heuristic, and objective levels, which is performed to guide the exploration towards designs of high interest. Last but not least, we systematically evaluate the emerging techniques empirically and identify the most promising AMT techniques.

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Section: System Synthesis Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Evolutionary System Design with Answer Set Programming

et al. 2023

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Investigating Methods for ASPmT-Based Design Space Exploration in Evolutionary Product Design

Müller,

Wanko,

Haubelt

et al. 2024

Int J Parallel Prog

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Nowadays, product development is challenged by increasing system complexity and stringent time-to-market. To handle the demanding market requirements, knowledge from prior product generations is used to derive new, but partially similar product versions. The concept of product generation engineering, hence, allows manufacturers to release high-quality products within short development times. Therefore, in this paper, we propose a novel approach to evaluate the similarity of two product implementations based on the concept of the Hamming distance. This allows the usage of similarity information in various heuristics as well as in strategies and thus, to improve the product design process. In a wide set of cases, we investigate the quality and similarity of design points. In the experiments, the use of strategies leads to significantly short searching times, but also tends to be too restrictive in certain cases. Simultaneously, the quality of the solutions found in the heuristic design space exploration has been shown to be as good or better than for the search from scratch and considerably closer solutions as part of the non-dominated solution front have been found.

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Exploiting Similarity in Evolutionary Product Design for Improved Design Space Exploration

Cited by 2 publications

References 12 publications

Evolutionary System Design with Answer Set Programming

Evolutionary System Design with Answer Set Programming

Investigating Methods for ASPmT-Based Design Space Exploration in Evolutionary Product Design

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