A Theoretical Assessment of Solution Quality in Evolutionary Algorithms for the Knapsack Problem.
Jun HeBoris MitavskiyYuren ZhouPublished in: CoRR (2014)
Keyphrases
- knapsack problem
- evolutionary algorithm
- solution quality
- optimization problems
- simulated annealing
- optimal solution
- test problems
- population diversity
- combinatorial optimization problems
- computational effort
- multi objective
- metaheuristic
- differential evolution
- evolutionary computation
- fitness function
- test instances
- combinatorial optimization
- genetic algorithm
- exact algorithms
- benchmark problems
- nsga ii
- np hard
- multidimensional knapsack problem
- tabu search
- multi objective optimization
- genetic programming
- dynamic programming
- feasible solution
- computational efficiency
- particle swarm optimization pso
- search space
- greedy algorithm
- resource consumption
- crossover operator
- linear programming
- implicit enumeration
- branch and bound algorithm
- objective function
- tabu search algorithm
- lower bound
- evolutionary strategy
- column generation
- linear program
- neural network
- search procedure
- combinatorial problems
- genetic algorithm ga
- traveling salesman problem