Automated design of machine learning and search algorithms

The three articles in this special section focus on the development of automated design of machine learning and search algorithms. There is a demand, especially from industry and business, to automate the design of machine learning and search algorithms, thereby removing the heavy reliance on human experts. Machine learning and search techniques play an important role in solving real-world complex optimization problems in areas such as transportation, data mining, computer vision, computer security and software development, amongst others. Given the growing complexity of optimization problems, the design of effective algorithms to solve these problems has become more challenging and time consuming. The design process is itself an optimization problem. Hence, there is a demand, especially from industry and business, to automate the design process, thereby to remove the heavy reliance on human experts and to reduce the man hours involved in designing machine learning and search algorithms.https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=33585hj2018Computer Scienc

ARTIFICIAL INTELLIGENCE TECHNIQUES IN POWER SYSTEMS : DEVELOPMENT OF AN OPERATIONAL GUIDANCE EXPERT SYSTEM

Master'sMASTER OF ENGINEERIN

Integrated framework for devising optimum generation schedules

Proceedings of the IEEE Conference on Evolutionary Computation11-40016