This study uses bibliometric analysis to examine the scientific evolution of particle swarm optimization (PSO) for the vehicle routing problem (VRP) over the past 20 years. Analyses were conducted to discover and characterize emerging trends in the research related to these topics and to examine the relationships between key publications. Through queries of the Web of Science and Scopus databases, the metadata for these particle swarm optimization (PSO) and vehicle routing problem (VRP) solution strategies were compared using bibliographic coupling and co-citation analysis using the Bibliometrix R software package, and secondly with VOSViewer. The bibliometric study’s purpose was to identify the most relevant thematic clusters and publicati...
Swarm Intelligence is an artificial intelligence discipline which is concerned with the design of in...
This paper proposes a formulation of the vehicle routing problem with simultaneous pickup and delive...
This paper presents an application of particle swarrn optimization (PSO) for solving the heterogeneo...
Summarization: In the last few years, a number of books and survey papers devoted to the vehicle rou...
The Vehicle Routing Problem (VRP) is a NP complete problem and is also a hot topic in the operationa...
This dissertation is a study on the use of swarm methods for optimization, and is divided into three...
Time-dependent VRP (TDVRP) is one of the three VRP variants that have not been widely explored in re...
Summarization: This paper introduces a new hybrid algorithmic nature inspired approach based on part...
This paper presents a study on an adaptive version of particle swarm optimization (PSO) algorithmfor...
This paper presented a particle swarm optimization algorithm (PSO) sor solving vehicle routing probl...
This dissertation is a study on the use of swarm methods for optimization, and is divided into three...
The Conventional Vehicle Routing Problem (VRP) has the objective function of minimizing the total ve...
Vehicle Routing Problem (VRP) is one of the common problems that happen in human life. There are man...
Summarization: This paper introduces a new hybrid algorithmic nature inspired approach based on Part...
Summarization: In this paper, a new variant of the Particle Swarm Optimization (PSO) algorithm is pr...
Swarm Intelligence is an artificial intelligence discipline which is concerned with the design of in...
This paper proposes a formulation of the vehicle routing problem with simultaneous pickup and delive...
This paper presents an application of particle swarrn optimization (PSO) for solving the heterogeneo...
Summarization: In the last few years, a number of books and survey papers devoted to the vehicle rou...
The Vehicle Routing Problem (VRP) is a NP complete problem and is also a hot topic in the operationa...
This dissertation is a study on the use of swarm methods for optimization, and is divided into three...
Time-dependent VRP (TDVRP) is one of the three VRP variants that have not been widely explored in re...
Summarization: This paper introduces a new hybrid algorithmic nature inspired approach based on part...
This paper presents a study on an adaptive version of particle swarm optimization (PSO) algorithmfor...
This paper presented a particle swarm optimization algorithm (PSO) sor solving vehicle routing probl...
This dissertation is a study on the use of swarm methods for optimization, and is divided into three...
The Conventional Vehicle Routing Problem (VRP) has the objective function of minimizing the total ve...
Vehicle Routing Problem (VRP) is one of the common problems that happen in human life. There are man...
Summarization: This paper introduces a new hybrid algorithmic nature inspired approach based on Part...
Summarization: In this paper, a new variant of the Particle Swarm Optimization (PSO) algorithm is pr...
Swarm Intelligence is an artificial intelligence discipline which is concerned with the design of in...
This paper proposes a formulation of the vehicle routing problem with simultaneous pickup and delive...
This paper presents an application of particle swarrn optimization (PSO) for solving the heterogeneo...