A modified nature inspired meta-heuristic whale optimization algorithm for solving 0-1 knapsack problem.
Mohamed Abdel-BassetDoaa El-ShahatArun Kumar SangaiahPublished in: Int. J. Mach. Learn. Cybern. (2019)
Keyphrases
- metaheuristic
- optimization algorithm
- nature inspired
- knapsack problem
- optimization problems
- combinatorial optimization
- optimal solution
- combinatorial optimization problems
- multi objective
- evolutionary algorithm
- ant colony optimization
- path relinking
- optimization method
- artificial bee colony
- scatter search
- tabu search
- test problems
- objective function
- ant colonies
- differential evolution
- harmony search
- traveling salesman problem
- particle swarm optimization pso
- exact algorithms
- nsga ii
- search heuristics
- simulated annealing
- vehicle routing problem
- search space
- particle swarm optimization
- np hard
- swarm intelligence
- hyper heuristics
- genetic algorithm
- solution space
- dynamic programming
- cost function
- branch and bound
- multi objective optimization
- bp neural network
- benchmark problems
- artificial neural networks
- bi objective
- linear programming
- web intelligence
- neural network
- evolutionary computation
- memetic algorithm
- linear program
- aco algorithm
- ant colony optimization algorithm
- greedy algorithm
- control parameters
- greedy randomized adaptive search procedure