Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem.
Junhua WuSergey PolyakovskiyMarkus WagnerFrank NeumannPublished in: GECCO (2018)
Keyphrases
- evolutionary computation
- bi objective
- dynamic programming
- evolutionary algorithm
- multi objective
- multi objective optimization
- knapsack problem
- efficient solutions
- computational intelligence
- routing problem
- genetic programming
- machine learning and data mining
- nsga ii
- genetic algorithm
- multiple objectives
- fitness function
- swarm intelligence
- cooperative coevolution
- optimization problems
- network design
- optimization algorithm
- simulated annealing
- fuzzy logic
- state space
- evolutionary approaches
- nature inspired algorithms
- ant colony optimization
- linear programming
- shortest path problem
- differential evolution
- multiobjective optimization
- greedy algorithm
- optimal policy
- reinforcement learning
- markov decision processes
- multi objective evolutionary algorithms
- scatter search
- np hard
- search algorithm