This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

The capacitated vehicle routing problem (CVRP) is a classical combinatorial optimization
problem, which has received much attention due to its main challenges as distribution …

The Vehicle Routing Problem with Time Windows (VRPTW) is paramount in elevating
operational efficiency, driving cost reductions, and enhancing customer satisfaction. It is a …

Several metaheuristic algorithms have been introduced to solve different optimization
problems. Such algorithms are inspired by a wide range of natural phenomena or behaviors …

The development of metaheuristic algorithms has led to the solution of various optimization
problems. Bioinspired optimization algorithms like the New Caledonian crow learning …

Bat algorithm is an effective swarm intelligence optimization algorithm which is widely used
to solve continuous optimization problems. But it still has some limitations in search process …

Most real-world optimization problems consist of huge num-ber of variables that need
unreasonable time and resources to identify the best solutions. One of the most important …

In this study, Bat algorithm (BA) is modified along with K-opt operation and one newly
proposed perturbation approach to solve the well known covering salesman problem (CSP) …

An improved fruit fly optimization algorithm (FOA) is proposed to solve the traveling
salesman problem. In this paper, in order to use FOA to solve the discrete problems, a new …

Abstract The Traveling Salesman Problem (TSP) is one of the most studied problems in
Computational Intelligence and Operations Research. Since its first formulation, a myriad of …