Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures.
Mario VentrescaBeatrice M. Ombuki-BermanAndrew RunkaPublished in: EvoCOP (2013)
Keyphrases
- information theoretic
- vehicle routing problem
- metaheuristic
- genetic algorithm
- information theoretic measures
- tabu search
- hybrid metaheuristic
- information theory
- mutual information
- simulated annealing
- theoretic framework
- entropy measure
- memetic algorithm
- routing problem
- vehicle routing
- benchmark problems
- combinatorial optimization
- vehicle routing problem with time windows
- np hard
- ant colony optimization
- particle swarm optimization
- multi objective
- jensen shannon divergence
- traveling salesman problem
- multi depot
- kullback leibler divergence
- travel time
- scatter search
- job shop scheduling problem
- information bottleneck
- genetic algorithm ga
- optimization problems
- search space
- fitness function
- evolutionary algorithm
- shannon entropy
- neural network
- vehicle routing problem with simultaneous
- optimization method
- scheduling problem
- optimal solution
- genetic operators
- probabilistic model
- computational complexity
- similarity measure
- jensen shannon
- computer vision
- information retrieval