Stability analysis for safety of automotive multi-product lines

Lee, Nian-Ze; Arcaini, Paolo; Ali, Shaukat; Ishikawa, Fuyuki

doi:10.1145/3321707.3321755

“…Similar observations have been seen in the optimal product selection in software product line [16], [45], [52], [66], [77], [113], [119], [120], [132] where the correctness of configurations is regarded as one objective and equally rated as other objectives (e.g., richness of features and cost). This may lead to an invalid product to be evaluated better than a valid product if the former performs better in other objectives, which is apparently of no value to the DM.…”

Section: Issue Iv: Oblivion Of Context Informationsupporting

confidence: 71%

How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance

Li

¹

,

Chen

²

,

Yao

³

2022

IIEEE Trans. Software Eng.

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“…On the other hand, deceptive functions' concatenations are easy to be solved if the problem nature (the perfect linkage) is known [49]. In the given example, the perfect linkage that groups the dependent gene indexes is (1, 2, 3), (4,5,6) and (7,8,9). Such linkage may be represented by a single linkage tree (Figure 3).…”

Section: Linkage Diversitymentioning

confidence: 99%

“…A solution in PFSP defines an order in which the production tasks (jobs) are put on the plan by a scheduler. PSFP is considered in single- [1,2], multi- [3,4] and many-objective versions [5]. For some of the problems that emerge from industry optimisation, real numbers are employed to encode a solution [4,6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Objective parameter-less population pyramid for solving industrial process planning problems

Przewoźniczek

¹

,

Dziurzański

²

,

Zhao

³

et al. 2021

Swarm and Evolutionary Computation

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Evolutionary methods are effective tools for obtaining high-quality results when solving hard practical problems. Linkage learning may increase their effectiveness. One of the state-of-the-art methods that employ linkage learning is the Parameter-less Population Pyramid (P3). P3 is dedicated to solving singleobjective problems in discrete domains. Recent research shows that P3 is highly competitive when addressing problems with so-called overlapping blocks, which are typical for practical problems. In this paper, we consider a multi-objective industrial process planning problem that arises from practice and is NP-hard.To handle it, we propose a multi-objective version of P3. The extensive research shows that our proposition outperforms the competing methods for the considered practical problem and typical multi-objective benchmarks.

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“…A solution in PFSP defines an order in which the production tasks (jobs) are put on the plan by a scheduler. PSFP is considered in single- [1,2], multi- [3,4] and many-objective versions [5]. For some of the problems that emerge from industry optimisation, real numbers are employed to encode a solution [4,6].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems

Przewoźniczek¹,

Dziurzański²,

Indrusiak³

2020

Preprint

0

View full text Add to dashboard Cite

Evolutionary methods are effective tools for obtaining high-quality results when solving hard practical problems. Linkage learning may increase their effectiveness. One of the state-of-the-art methods that employ linkage learning is the Parameter-less Population Pyramid (P3). P3 is dedicated to solving singleobjective problems in discrete domains. Recent research shows that P3 is highly competitive when addressing problems with so-called overlapping blocks, which are typical for practical problems. In this paper, we consider a multi-objective industrial process planning problem that arises from practice and is NP-hard.To handle it, we propose a multi-objective version of P3. The extensive research shows that our proposition outperforms the competing methods for the considered practical problem and typical multi-objective benchmarks.

show abstract

Stability analysis for safety of automotive multi-product lines

Cited by 6 publications

References 21 publications

How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance

How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance

Multi-Objective parameter-less population pyramid for solving industrial process planning problems

Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems

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