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Models and heuristics for hard routing and knapsack problems
J. Pierotti
Discrete Mathematics and Optimization
Research output
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Thesis
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Dissertation (TU Delft)
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Dive into the research topics of 'Models and heuristics for hard routing and knapsack problems'. Together they form a unique fingerprint.
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Computer Science
Model
100%
Combinatorial Optimisation
100%
Heuristics
100%
Routing Problem
100%
Knapsack Problem
100%
Machine Learning
75%
Vehicle Routing
75%
Algorithms
50%
Polynomial Time
50%
Branch-and-Bound Algorithm Design
25%
Shopping Online
25%
Transportation Sector
25%
Fundamental Importance
25%
Metaheuristics
25%
Joint Research
25%
Deep Reinforcement Learning
25%
Combinatorial Optimization Problem
25%
Generalizability
25%
Standards
25%
Customer Demand
25%
Biggest Challenge
25%
Radical Transformation
25%
Optimal Allocation
25%
Valid Inequality
25%
Class
25%
Optimization Problem
25%
Autonomous Driving
25%
Objective Function
25%
Reinforcement Learning
25%
Time Information
25%
Mathematics
Vehicle Routing Problem
100%
Algorithm
100%
Exponential Time
66%
Minimizes
66%
Polynomial Time
66%
NP-hard Problem
33%
Combinatorial Optimization Problem
33%
Objective Function
33%
Approximates
33%
Operators
33%
Parameter
33%
Parametric
33%
Class
33%
Generalizability
33%
Bounds
33%
Worst Case
33%
INIS
optimization
100%
routing
100%
vehicles
57%
resources
42%
machine learning
42%
cost
42%
algorithms
42%
people
28%
polynomials
28%
market
14%
demand
14%
allocations
14%
information
14%
delivery
14%
approximations
14%
transportation sector
14%
performance
14%
learning
14%
transformations
14%
solutions
14%
size
14%
constraints
14%
Psychology
Resources
100%
Research
66%
Learning Algorithm
33%
Reinforcement
33%
Neuroscience
Reinforcement Learning
100%
Guanosine Diphosphate
100%
Keyphrases
Heuristic Operator
25%