Paradoxes in Numerical Comparison of Optimization Algorithms.
Qunfeng LiuWilliam V. GehrleinLing WangYuan YanYingying CaoWei ChenYun LiPublished in: IEEE Trans. Evol. Comput. (2020)
Keyphrases
- optimization problems
- computationally efficient
- recently developed
- classification algorithm
- discrete optimization
- optimization methods
- orders of magnitude
- significant improvement
- computational complexity
- data structure
- efficient optimization
- stochastic search
- convex optimization problems
- evolution strategy
- stochastic gradient
- optimization process
- real time
- sensitivity analysis
- combinatorial optimization
- optimization method
- theoretical analysis
- probabilistic model
- computational cost
- search engine
- learning algorithm
- machine learning