Quadratic speedup of global search using a biased crossover of two good solutions.
Takuya IsomuraPublished in: CoRR (2021)
Keyphrases
- global search
- candidate solutions
- genetic algorithm
- convergence speed
- simulated annealing
- search algorithm
- global optimization
- particle swarm optimization algorithm
- particle swarm optimization
- search space
- evolutionary algorithm
- genetic operators
- evolution strategy
- quantum behaved particle swarm optimization
- genetic programming
- premature convergence
- differential evolution
- global optima
- benchmark problems
- nonlinear optimization
- objective function
- orders of magnitude
- solution quality
- optimization process
- exhaustive search
- inertia weight
- pairwise
- optimization problems
- global optimum
- genetic algorithm ga
- computational complexity
- mutation operator
- optimal solution
- particle swarm optimisation
- search capabilities
- artificial neural networks
- pso algorithm
- fitness function
- crossover operator
- test problems
- computationally expensive
- particle swarm optimization pso