scholarly journals Gene-inspired Development of Innovative Design: Principles and Algorithm

Procedia CIRP ◽  
2020 ◽  
Vol 91 ◽  
pp. 838-843 ◽  
Author(s):  
Wei Zhang ◽  
Mark Price ◽  
Trevor Robinson ◽  
Declan Nolan ◽  
Peter Kilpatrick ◽  
...  
2016 ◽  
Vol 37 (1/2) ◽  
pp. 2-12 ◽  
Author(s):  
Zhixian Yi

Purpose – In the digital age, constant changes in libraries inform contemporary building design. An innovative library building design is a complicated process and can be viewed as a continuous process of the use of tacit and explicit knowledge and innovative tools and approaches. Knowledge management (KM) can bring about the much needed innovation, and transform tacit knowledge to explicit knowledge. For the design of a library to be successful, it is necessary to apply KM to library building design. The purpose of this paper is to look at key change impacts, to explore how to manage knowledge in building design and to identify key design principles. Design/methodology/approach – This paper looks at key change impacts, explores how to manage knowledge in library building design and pinpoints design principles. Findings – This paper finds that KM can be vital to library building design, and it can be used in all stages: to examine the internal and external environments, transform tacit knowledge to explicit knowledge by using portals, and analyze existing and future issues and trends. When effectively used, KM will result in innovative design strategies and also will reduce the time and costs of the building design and plan processes. The main principles of library building design are flexibility, accessibility, safety and security, applicability, adaptability, efficiency, and sustainability. Practical implications – This paper provides a useful overview of how to manage knowledge in library building design and design principles. Originality/value – The views, discussions, and suggestions will be of value to improve the effectiveness of library building design.


Recently, researchers in the field of Evolutionary Multi-Objective Optimization give a systematic approach for exploring innovative design principles in a conflicting multi-objective optimization problem by analyzing pareto optimal solution using either manual or automated approach. They call it “Innovization” and defined as: “innovation through optimization”. This paper applies manual innovization to multi-objective Optimal Reactive Power Dispatch Problem using Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) as multi-objective optimization algorithm and manually searches for all possible innovative design principles by analyzing multiple pareto optimal solutions. Standard IEEE 30 bus test system is considered for the current work. Simulation results reveal number of innovative design principles. Innovative design principles includes function approximation of relationship between conflicting objectives, characteristics of decision variable with respect to different objectives and actual range of decision variables. Simulation results clearly show much faster convergence when decision variables were obtained using innovative design principles for specified desired objectives as compared to normal case. Results also show some decision variables can be eliminated by setting it to a fixed value, which leads to simplification of optimization problem as the values of these variables remains constant with respect to the values of objective function.


2020 ◽  
Vol 48 (2) ◽  
pp. 399-409
Author(s):  
Baizhen Gao ◽  
Rushant Sabnis ◽  
Tommaso Costantini ◽  
Robert Jinkerson ◽  
Qing Sun

Microbial communities drive diverse processes that impact nearly everything on this planet, from global biogeochemical cycles to human health. Harnessing the power of these microorganisms could provide solutions to many of the challenges that face society. However, naturally occurring microbial communities are not optimized for anthropogenic use. An emerging area of research is focusing on engineering synthetic microbial communities to carry out predefined functions. Microbial community engineers are applying design principles like top-down and bottom-up approaches to create synthetic microbial communities having a myriad of real-life applications in health care, disease prevention, and environmental remediation. Multiple genetic engineering tools and delivery approaches can be used to ‘knock-in' new gene functions into microbial communities. A systematic study of the microbial interactions, community assembling principles, and engineering tools are necessary for us to understand the microbial community and to better utilize them. Continued analysis and effort are required to further the current and potential applications of synthetic microbial communities.


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