Evolutionary algorithms (EA), a class of stochastic search methods based on the principles
of natural evolution, have received widespread acclaim for their exceptional performance in …

The fitness function value is a kind of important information in the search process, which can
be more targeted according to the guidance of the fitness function value. Most existing meta …

Cognitive diagnosis has attracted increasing attention owing to the flourishing development
of online education. As one of the most widely used cognitive diagnostic models, DINA …

A method of heuristically solving large traveling salesman problems is suggested, where a
dramatic computational speedup is guaranteed. A specific genetic algorithm is the solver …

This paper presents a novel approach based on the ant system algorithm for solving discrete
optimization problems. The proposed method is based on path construction, path …

This paper presents a novel approach to addressing the Stochastic Traveling Salesman
Problem (STSP), a classical problem in combinatorial optimization, by integrating travel time …

In the process of solving the Traveling Salesman Problem (TSP), both Ant Colony
Optimization and simulated annealing exhibit different limitations depending on the dataset …

This article focuses principally on the comparison baseline and the optimized flow efficiency
of the final stage of an axial turbine operating on a gas–steam mixture by applying a hybrid …

In the application of rotorcraft atmospheric environment detection, to reflect the distribution of
atmospheric pollutants more realistically and completely, the sampling points must be …

For prohibitively large-scale Travelling Salesman Problems (TSPs), existing algorithms face
big challenges in terms of both computational efficiency and solution quality. To address this …