In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …

The traveling salesman problem (TSP) is one of the most intensively studied problems in
computational mathematics. This paper proposes a swarm intelligence approach using a …

The ant colony optimization (ACO) is one efficient approach for solving the travelling
salesman problem (TSP). Here, we propose a hybrid algorithm based on state-adaptive …

In this paper, a Quantum-inspired Ant Colony Optimization (Qi-ACO) is proposed to solve a
sustainable four-dimensional traveling salesman problem (4DTSP). In 4DTSP, various paths …

This article presents the Ant Colony Optimization algorithm to solve the Travelling Salesman
Problem. The proposed algorithm implements three novel techniques to enhance the overall …

The sparrow search algorithm (SSA) tends to fall into local optima and to have insufficient
stagnation when applied to the traveling salesman problem (TSP). To address this issue, we …

Abstract The Asymmetric Traveling Salesman Problem (ATSP), as a branch of the traveling
salesman problem, aims to find a group of circuits when a salesman travels all cities at the …

The traveling salesman problem (TSP) is an NP complete problem with potential
applications. Thus far, numerous approaches have been proposed to solve the TSP …

This article deals with the novel metaheuristic algorithm based on the ant colony
optimization (ACO) principle. It implements several novel mechanisms that improve its …

This paper is concerned with the scheduling problem in a new-type seru production system
by consideration of DeJong's learning effect to minimise the total weighted completion time …