Building on recent research on preference handling in artificial intelligence and related fields, our goal is to develop a coherent and generic methodological framework for case-based reasoning (CBR) on the basis of formal concepts and methods for knowledge representation and reasoning with preferences. A preference-based approach to CBR appears to be appealing for several reasons, notably beca...

This paper presents a novel application of metaheuristic algorithms for solving stochastic programming problems using recently developed gaining sharing knowledge based optimization (GSK) algorithm. The algorithm is on human behavior in which people gain and share their with others. Different types fractional are considered this study. augmented Lagrangian method (ALM) used to handle these cons...

Meta-heuristics optimization methods are important techniques for optimal design of the engineering systems. Numerous methods, inspired by different nature phenomena, have been introduced in the literature. A new modified version of Teaching-Learning-Based Optimization (TLBO) Algorithm is introduced in this paper. TLBO, as a parameter free algorithm, is based on the learning procedure of studen...

The structure of human knowledge is regarded as granule state by rough sets theory. Granularity is used to denote this structure of knowledge. Knowledge itself evolves ceaselessly as creatures. The mechanism of knowledge evolution includes the productive mechanism for new knowledge and the natural choice mechanism for the selection of the superior and the elimination of the inferior. Knowledge ...