Ubiquity symposium: Evolutionary computation and the processes of life: what the no free lunch theorems really mean: how to improve search algorithms

What makes an optimization problem hard?

Complexity

On bias plus variance

Neural Computation

The Cross Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-carlo Simulation (Information Science and Statistics)

The Cross Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-carlo Simulation (Information Science and Statistics)

The lack of a priori distinctions between learning algorithms

Neural Computation

No free lunch theorems for optimization

IEEE Transactions on Evolutionary Computation

Coevolutionary free lunches

IEEE Transactions on Evolutionary Computation