A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space.
Tome EftimovPeter KorosecPublished in: Inf. Sci. (2019)
Keyphrases
- metaheuristic
- search space
- stochastic optimization
- optimization problems
- benchmark instances
- hybrid algorithms
- solution space
- combinatorial optimization
- combinatorial problems
- tabu search
- set of benchmark instances
- optimal solution
- search methods
- simulated annealing
- benchmark problems
- iterated local search
- search procedures
- ant colony optimization
- suboptimal solutions
- solution quality
- optimization method
- scatter search
- hyper heuristics
- initial solution
- genetic algorithm
- learning algorithm
- heuristic methods
- exact algorithms
- approximate solutions
- state space
- genetic programming
- aco algorithm
- search algorithm
- feasible solution
- multistage
- particle swarm optimization