Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite
different from that of classical computers in terms of speed and methods of operations. This …
different from that of classical computers in terms of speed and methods of operations. This …
A new formulation for the dial-a-ride problem
Y Rist, MA Forbes - Transportation Science, 2021 - pubsonline.informs.org
This paper proposes a new mixed integer programming formulation and branch and cut
(BC) algorithm to solve the dial-a-ride problem (DARP). The DARP is a route-planning …
(BC) algorithm to solve the dial-a-ride problem (DARP). The DARP is a route-planning …
Meeting-merging-mission: A multi-robot coordinate framework for large-scale communication-limited exploration
This letter presents a complete framework Meeting-Merging-Mission for multi-robot
exploration under communication restriction. Considering communication is limited in both …
exploration under communication restriction. Considering communication is limited in both …
Compact formulations for split delivery routing problems
P Munari, M Savelsbergh - Transportation Science, 2022 - pubsonline.informs.org
Split delivery routing problems are concerned with serving the demand of a set of customers
with a fleet of capacitated vehicles at minimum cost, where a customer can be served by …
with a fleet of capacitated vehicles at minimum cost, where a customer can be served by …
A fast-response mathematical programming approach for delivering disaster relief goods: an earthquake case study
J Qezelbash-Chamak, S Badamchizadeh… - Transportation …, 2024 - Taylor & Francis
This paper tackles a complex logistics challenge of disaster management, encompassing
warehouse location, pre-disaster inventory planning, routing, and post-disaster relief supply …
warehouse location, pre-disaster inventory planning, routing, and post-disaster relief supply …
Vehicle routing by learning from historical solutions
R Canoy, T Guns - Principles and Practice of Constraint Programming …, 2019 - Springer
The goal of this paper is to investigate a decision support system for vehicle routing, where
the routing engine learns from the subjective decisions that human planners have made in …
the routing engine learns from the subjective decisions that human planners have made in …
Capacitated vehicle routing problem—a new clustering approach based on hybridization of adaptive particle swarm optimization and grey wolf optimization
Capacitated vehicle routing problem (CVRP) is a challenging combinatorial optimization
research and has drawn considerable interests from many scientists. However, no standard …
research and has drawn considerable interests from many scientists. However, no standard …
[PDF][PDF] Quantum computing for process systems optimization and data analytics
A Ajagekar - 2020 - ecommons.cornell.edu
Quantum computing (QC) is the next frontier in computation and has attracted a lot of
attention from the scientific community in recent years. With the ever-increasing complexity …
attention from the scientific community in recent years. With the ever-increasing complexity …
A Vehicle Routing Problem in Plastic Waste Management Considering the Collection Point Location Decisions
ML Tee, DE Cruz - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Due to the rise of innovative plastic waste management, Producer Responsibility
organizations (PROs) develop environmental and economic policies such as the Extended …
organizations (PROs) develop environmental and economic policies such as the Extended …
The optimal route and stops for a group of users in a road network
The rise of innovative transportation services and the recent breakthrough in the
development of autonomous vehicles have stimulated the research on collective travel …
development of autonomous vehicles have stimulated the research on collective travel …