For cell culture scaffold innovation,3DPVS,namely 3D printed vibratory scaffold,was indicated as a future novel product,and it currently stands at conceptual development stage.One essential part for 3DPVS design is in...For cell culture scaffold innovation,3DPVS,namely 3D printed vibratory scaffold,was indicated as a future novel product,and it currently stands at conceptual development stage.One essential part for 3DPVS design is innovation,and TRIZ(algorithm of inventive problem solving)was studied as promising method for generating novel conceptual solutions.This study targets designing and solving 3DPVS problems using TRIZ in the new biodimension.We aim to utilize TRIZ to conduct a multi-layer problem-solving process,which is to address design concerns of 3DPVS,especially at super-system to system level.In this connection,TRIZ is used to address basic constraints and contradictions inside regarding trinity of 3D printing,3D scaffold and bio-based vibratory functionality.In the study,five basic conceptual solutions for potential 3DPVS,namely magnetic,electric,mechanical,light and thermal based,have been generated.A brief evaluation has also been conducted,where magnetic-based 3DPVS shows the relatively highest applicability as potential 3DPVS.Compared with traditional experimental-oriented processes for biodesign,the approach of utilizing TRIZ can be inspiring and reinvigorating,which prepares a ground for future 3DPVS design to address detailed sub-system concerns.This study might,to some extent,fill a gap in scaffold design and TRIZ literature and hopefully provide a comprehensive perspective of a timely topic.展开更多
In this paper,we propose genetic programming(GP) using dynamic population variation(DPV) with four innovations for reducing computational efforts.A new stagnation phase definition and characteristic measure are define...In this paper,we propose genetic programming(GP) using dynamic population variation(DPV) with four innovations for reducing computational efforts.A new stagnation phase definition and characteristic measure are defined for our DPV.The exponential pivot function is proposed to our DPV method in conjunction with the new stagnation phase definition.An appropriate population variation formula is suggested to accelerate convergence.The efficacy of these innovations in our DPV is examined using six benchmark problems.Comparison among the difierent characteristic measures has been conducted for regression problems and the new proposed measure outperformed other measures.It is proved that our DPV has the capacity to provide solutions at a lower computational effort compared with previously proposed DPV methods and standard genetic programming in most cases.Meanwhile,our DPV approach introduced in GP could also rapidly find an excellent solution as well as standard GP in system modeling problems.展开更多
文摘For cell culture scaffold innovation,3DPVS,namely 3D printed vibratory scaffold,was indicated as a future novel product,and it currently stands at conceptual development stage.One essential part for 3DPVS design is innovation,and TRIZ(algorithm of inventive problem solving)was studied as promising method for generating novel conceptual solutions.This study targets designing and solving 3DPVS problems using TRIZ in the new biodimension.We aim to utilize TRIZ to conduct a multi-layer problem-solving process,which is to address design concerns of 3DPVS,especially at super-system to system level.In this connection,TRIZ is used to address basic constraints and contradictions inside regarding trinity of 3D printing,3D scaffold and bio-based vibratory functionality.In the study,five basic conceptual solutions for potential 3DPVS,namely magnetic,electric,mechanical,light and thermal based,have been generated.A brief evaluation has also been conducted,where magnetic-based 3DPVS shows the relatively highest applicability as potential 3DPVS.Compared with traditional experimental-oriented processes for biodesign,the approach of utilizing TRIZ can be inspiring and reinvigorating,which prepares a ground for future 3DPVS design to address detailed sub-system concerns.This study might,to some extent,fill a gap in scaffold design and TRIZ literature and hopefully provide a comprehensive perspective of a timely topic.
基金Ministry of Major Science & Technology of Shanghai(No.10DZ1200204)
文摘In this paper,we propose genetic programming(GP) using dynamic population variation(DPV) with four innovations for reducing computational efforts.A new stagnation phase definition and characteristic measure are defined for our DPV.The exponential pivot function is proposed to our DPV method in conjunction with the new stagnation phase definition.An appropriate population variation formula is suggested to accelerate convergence.The efficacy of these innovations in our DPV is examined using six benchmark problems.Comparison among the difierent characteristic measures has been conducted for regression problems and the new proposed measure outperformed other measures.It is proved that our DPV has the capacity to provide solutions at a lower computational effort compared with previously proposed DPV methods and standard genetic programming in most cases.Meanwhile,our DPV approach introduced in GP could also rapidly find an excellent solution as well as standard GP in system modeling problems.
