Husbands, P., Jermy, G., McIlhagga, M., Ives, R.: Two Applications of Genetic Algorithms to Component Design. In: Fogarty, T.C. (ed.) AISB-WS 1996. LNCS, vol. 1143, pp. 50–61. Springer, Heidelberg (1996)Hus
Sophisticated and modern crop improvement techniques can bridge the gap for feeding the ever-increasing population. Artificial intelligence (AI) refers to the simulation of human intelligence in machines, which refers to the application of computational algorithms, machine learning (ML) and deep learning...
Research into artificial intelligence (AI) has made tremendous progress over the past decade. In particular, the AI-powered analysis of images and signals has reached human-level performance in many applications owing to the efficiency of modern machine
So to formalize a definition of agenetic algorithm, we can say that it is an optimization technique, which tries to find out such values of input so that we get the best output values or results. The working of a genetic algorithm is also derived from biology, which is as shown in the...
Machine learning approaches have been applied to the study of neurodegenerative diseases and show promise in the areas of early diagnosis, prognosis and development of new therapies. A substantial number of machine learning algorithms exist, and choosing the correct algorithm to apply to different types...
Special Section on Artificial Intelligence in Engineering Risk Analytics select article Two-level principal–agent model for schedule risk control of IT outsourcing project based on genetic algorithm Research articleAbstract only Two-level principal–agent model for schedule risk control of IT outsourcing ...
Motion planning and control, Robot-human collaboration, Remote operation, Autonomous mobile robot, human-robot skill transfer, AI for robotics, Generative design & optimization of robotics systems Signal and Information Processing: Computational imaging, Image & video processing, Computer vision, Data pr...
The primary guideline was to demonstrate the most significant developments on the topics of AI and to apply AI algorithms in real-life scenarios. In the paper entitled “Solving two-dimensional HP model by firefly algorithm and simplified energy function,” Y. Zhang et al. investigate traditional...
Research into artificial intelligence (AI) has made tremendous progress over the past decade. In particular, the AI-powered analysis of images and signals has reached human-level performance in many applications owing to the efficiency of modern machine
In this article, you’ll find the current state of digital biology and the fields it serves. You’ll also read about biotechnology areas that benefit the most from other intelligent technologies, such as AI, machine learning, and cloud computing. ...