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An artificial fish swarm optimization algorithm for the urban transit routing problem
Abstract The Urban Transit Routing Problem (UTRP) is an NP-hard discrete problem that
deals with the design of routes for public transport systems. It is a highly complex, multiply …
deals with the design of routes for public transport systems. It is a highly complex, multiply …
Mathematical modeling of vehicle routing problem in omni-channel retailing
The biggest challenge that retailers face in satisfying consumer requirements is to ensure an
integrated/seamless shop** experience consistent with the purchase, regardless of how …
integrated/seamless shop** experience consistent with the purchase, regardless of how …
Closed-loop multi-objective waste management through vehicle routing problem in neutrosophic hesitant fuzzy environment
Waste management contributes in various fields for global development. A multi-objective
waste management (MOWM) problem is devised in an area that generates commercial …
waste management (MOWM) problem is devised in an area that generates commercial …
New integrated routing and surveillance model with drones and charging station considerations
Cash/valuables routing is vulnerable to attacks and robberies, so it is essential to prioritize
transport security. This research employs a surveillance drone approach to enhance the …
transport security. This research employs a surveillance drone approach to enhance the …
A peer-to-peer energy trading for a clustered microgrid–Game theoretical approach
This paper proposes a peer-to-peer energy trading system based on multi-objective game-
theoretic optimisation for a clustered microgrid to find suitable sizes of distributed …
theoretic optimisation for a clustered microgrid to find suitable sizes of distributed …
Integrated ground vehicle and drone routing with simultaneous surveillance coverage for evading intentional disruption
The purpose of this study is to examine the use of drones to provide transportation security
during times of intentional disruption. Due to the nature of valuable goods, their …
during times of intentional disruption. Due to the nature of valuable goods, their …
An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre …
Drones are increasingly utilized for transportation reconnaissance due to their expansive
field of view, cost-effectiveness, and agility. They can pre-reconnaissance the traveling …
field of view, cost-effectiveness, and agility. They can pre-reconnaissance the traveling …
Real environment-aware multisource data-associated cold chain logistics scheduling: A multiple population-based multiobjective ant colony system approach
Cold chain logistics (CCL) scheduling is important for smart cities as it directly affects the
service quality and operating profits of logistics companies. However, traditional CCL …
service quality and operating profits of logistics companies. However, traditional CCL …
Human-like motion planning of autonomous vehicle based on probabilistic trajectory prediction
Motion planning for autonomous vehicles becomes more challenging when both driver
comfort and collision risk are considered. To overcome this challenge, a human-like motion …
comfort and collision risk are considered. To overcome this challenge, a human-like motion …
A comprehensive risk assessment view on interval type-2 fuzzy controller for a time-dependent HazMat routing problem
Hazardous material transportation is an integral part of industries that pose significant risks.
Hazardous material transportation risk of is proportional to the volume of materials …
Hazardous material transportation risk of is proportional to the volume of materials …