Constructive cooperative coevolutionary optimisation for interacting production stations

Glorieux, Emile; Danielsson, Fredrik; Svensson, Bo; Lennartson, Bengt

doi:10.1007/s00170-015-7012-7

Cited by 12 publications

(10 citation statements)

References 44 publications

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“…The motion planning of these material handling systems is a critical issue for the industry (Glorieux et al 2015a).…”

Section: Case Studymentioning

confidence: 99%

“…non-fully separable subproblems (Glorieux et al 2015b). This makes it suitable for the press line case study, as show by Glorieux et al (2015a). The population size is 20, and the termination criterion is 1000 evaluations.…”

Section: Outer Loopmentioning

confidence: 99%

“…The inner loop starts with generating the trajectories at maximum velocity (V r )/acceleration (A r ) according to the constraints (4)- (6) and a model of the robot (Glorieux et al 2015a). It then calculates the force on the part during handling.…”

Section: Inner Loopmentioning

confidence: 99%

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End-effector design optimisation and multi-robot motion planning for handling compliant parts

Glorieux

Franciosa

Ceglarek

2017

Struct Multidisc Optim

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The deformation of compliant parts during material handling is a critical issue that can significantly affect the productivity and the parts' dimensional quality. There are multiple relevant aspects to consider when designing end-effectors to handle compliant parts, e.g. motion planning, holding force, part deformations, collisions, etc. This paper focuses on multi-robot material handling systems where the end-effector designs influence the coordination of the robots to prevent that these collide in the shared workspace. A multi-disciplinary methodology for end-effector design optimisation and multi-robot motion planning for material handling of compliant parts is proposed. The novelty is the co-adaptive optimisation of the end-effectors' structure with the robot motion planning to obtain the highest productivity and to avoid excessive part deformations. Based on FEA, the dynamic deformations of the parts are modelled in order to consider these during the collision avoidance between the handled parts and obstacles. The proposed methodology is evaluated for a case study that considers the multi-robot material handling of sheet metal parts in a multi-stage tandem press line. The results show that a substantial improvement in productivity can be achieved (up to 1.9%). These also demonstrate the need and contribution of the proposed methodology.

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“…The motion planning of these material handling systems is a critical issue for the industry (Glorieux et al 2015a).…”

Section: Case Studymentioning

confidence: 99%

Section: Outer Loopmentioning

confidence: 99%

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End-effector design optimisation and multi-robot motion planning for handling compliant parts

Glorieux

Franciosa

Ceglarek

2017

Struct Multidisc Optim

Self Cite

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“…Compared to previous work (Glorieux et al 2014(Glorieux et al , 2015, C 3 is improved in order to make it scalable in number of subproblems. Thereby, it can be applied on a wider range of problems.…”

Section: Introductionmentioning

confidence: 99%

“…In earlier work, C 3 is applied on practical optimisation problems concerning control of interacting production stations (Glorieux et al 2014(Glorieux et al , 2015. There, it is used within a simulation-based optimisation framework and it is shown that C 3 outperforms other optimisation methods.…”

Section: Introductionmentioning

confidence: 99%

Constructive cooperative coevolution for large-scale global optimisation

et al. 2017

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This paper presents the Constructive Cooperative Coevolutionary (C 3 ) algorithm, applied to continuous large-scale global optimisation problems. The novelty of C 3 is that it utilises a multi-start architecture and incorporates the Cooperative Coevolutionary algorithm. The considered optimisation problem is decomposed into subproblems. An embedded optimisation algorithm optimises the subproblems separately while exchanging information to co-adapt the solutions for the subproblems. Further, C 3 includes a novel constructive heuristic that generates different feasible solutions for the entire problem and thereby expedites the search. In this work, two different versions of C 3 are evaluated on high-dimensional benchmark problems, including the CEC'2013 test suite for large-scale global optimisation. C 3 is compared with several state-of-the-art algorithms, which shows that C 3 is among the most competitive algorithms. C 3 outperforms the other algorithms for most partially separable functions and overlapping functions. This shows that C 3 is an effective algorithm for large-scale global optimisation. This paper demonstrates the enhanced performance by using constructive heuristics for generating initial feasible solutions for Cooperative Coevolutionary algorithms in a multi-start framework.

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Feeding Mechanisms in the Auto-Body Stamping Production Line: A Review of Common Research

2023

J. Inst. Eng. India Ser. C

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Constructive cooperative coevolutionary optimisation for interacting production stations

Cited by 12 publications

References 44 publications

End-effector design optimisation and multi-robot motion planning for handling compliant parts

End-effector design optimisation and multi-robot motion planning for handling compliant parts

Constructive cooperative coevolution for large-scale global optimisation

Feeding Mechanisms in the Auto-Body Stamping Production Line: A Review of Common Research

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