Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview <s> Teaching-learning-based optimization (TLBO) <s> A new efficient optimization method, called 'Teaching-Learning-Based Optimization (TLBO)', is proposed in this paper for the optimization of mechanical design problems. This method works on the effect of influence of a teacher on learners. Like other nature-inspired algorithms, TLBO is also a population-based method and uses a population of solutions to proceed to the global solution. The population is considered as a group of learners or a class of learners. The process of TLBO is divided into two parts: the first part consists of the 'Teacher Phase' and the second part consists of the 'Learner Phase'. 'Teacher Phase' means learning from the teacher and 'Learner Phase' means learning by the interaction between learners. The basic philosophy of the TLBO method is explained in detail. To check the effectiveness of the method it is tested on five different constrained benchmark test functions with different characteristics, four different benchmark mechanical design problems and six mechanical design optimization problems which have real world applications. The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort. Results show that TLBO is more effective and efficient than the other optimization methods for the mechanical design optimization problems considered. This novel optimization method can be easily extended to other engineering design optimization problems. <s> BIB001 </s> Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview <s> Teaching-learning-based optimization (TLBO) <s> Telesurgery is a form of surgery in which a remote surgeon can perform surgical operation on a patient over a distance using robots. Due to human life is at stake, telesurgery is a high risk operation. Therefore, safety is one of the most important issues in telesurgery. Implementing appropriate mechanisms and protocols over communication network in order to transmit telesurgical traffics effectively, can improve the safety of telesurgery. The limitations of traditional IP-based protocols make it difficult to provide quality of service (QoS) for telesurgery. Fortunately, the advent of software defined network (SDN) facilitates to provide and guarantee QoS for most applications such as telesurgery. This paper investigates the feasibility of telesurgery over SDN, and proposes an SDN-based network architecture for the implementation of telesurgery. The proposed architecture considers all communication aspects of telesurgery and manages telesurgical traffics by using an efficient traffic engineering (TE) technique. To prove the effectiveness of our proposed architecture and TE method, we conducted extensive simulations for telesurgery application. Experimental results confirm that the proposed solution can be practically used for telesurgery and improve the performance of telesurgery in terms of QoS parameters. <s> BIB002
TLBO BIB001 is a new population-based algorithm basically proposed for constrained mechanical design optimization problems. In TLBO, a set of learners is defined as population, and the optimal solution in the population is considered as the teacher BIB002 . TLBO needs merely the population size and the number of iterations as the control parameters BIB002 . Both the teacher and learner procedures are executed in each iteration of TLBO. When the teacher finds a better than the existing solution, it will be replaced with the new one BIB002 .