A multi-objective vehicle routing and scheduling problem with uncertainty in customers' request and priority

DOI10.1007/s10878-012-9564-xzbMath1291.90217OpenAlexW2089310860MaRDI QIDQ2251139

Reza Tavakkoli-Moghaddam, S. Farid Ghannadpour, Siamak Noori

Publication date: 11 July 2014

Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10878-012-9564-x

zbMATH Keywords

multi-objective optimizationsatisfaction leveluncertainty in requestvehicle routing and scheduling problem

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Deterministic scheduling theory in operations research (90B35)

Related Items (5)

Approximation schemes for Euclidean vehicle routing problems with time windows ⋮ An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems ⋮ A green routing-location problem in a cold chain logistics network design within the balanced score card pillars in fuzzy environment ⋮ A hybrid ant colony optimization algorithm for a multi-objective vehicle routing problem with flexible time windows ⋮ A lower bound for the adaptive two-echelon capacitated vehicle routing problem

Uses Software

• MACS-VRPTW

Cites Work

• Unnamed Item
• A new capacitated vehicle routing problem with split service for minimizing fleet cost by simulated annealing
• The capacitated vehicle routing problem with stochastic demands and time windows
• An Ant Colony algorithm hybridized with insertion heuristics for the Time Dependent Vehicle Routing Problem with Time Windows
• Online vehicle routing and scheduling with dynamic travel times
• An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows
• A vehicle routing problem with pickup and delivery time windows, and coordination of transportable resources
• A comparison of five heuristics for the multiple depot vehicle scheduling problem
• A cluster-based optimization approach for the multi-depot heterogeneous fleet vehicle routing problem with time windows
• A memetic algorithm for a vehicle routing problem with backhauls
• Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation
• A general heuristic for vehicle routing problems
• A reactive tabu search algorithm for the vehicle routing problem with simultaneous pickups and deliveries
• A GA based heuristic for the vehicle routing problem with multiple trips
• A neural-tabu search heuristic for the real time vehicle routing problem
• Vehicle routing problem with fuzzy time windows
• A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows
• A dynamic vehicle routing problem with time-dependent travel times
• A multi-period TSP with stochastic regular and urgent demands
• Very large-scale vehicle routing: new test problems, algorithms, and results
• A hybrid multiobjective evolutionary algorithm for solving vehicle routing problem with time windows
• Vehicle routing and scheduling with dynamic travel times
• Ant colony system for a dynamic vehicle routing problem
• Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints
• A New Optimization Algorithm for the Vehicle Routing Problem with Time Windows
• An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, I: Single Period Travel Times
• Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching
• Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers

This page was built for publication: A multi-objective vehicle routing and scheduling problem with uncertainty in customers' request and priority