artificial immune systems (ais) can be defined as soft computing systems inspired by immune system of vertebrates. immune system is an adaptive pattern recognition system. ais have been used in pattern recognition, machine learning, optimization and clustering. feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

Robust optimization (RO) is a common approach to tractably obtain safeguarding solutions for problems with uncertain constraints. In this paper, we study statistical framework integrate data into RO based on learning prediction set using (combinations of) geometric shapes that are compatible established tools and simple data-splitting validation step achieves finite-sample nonparametric guarant...

Teaching-learning-based optimization (TLBO) algorithm is proposed in recent years that simulates the teaching-learning phenomenon of a classroom to effectively solve global optimization of multidimensional, linear, and nonlinear problems over continuous spaces. In this paper, an improved teaching-learning-based optimization algorithm is presented, which is called nonlinear inertia weighted teac...