Population learning algorithm versus evolutionary computation
Dariusz Barbucha, Piotr Jędrzejowicz, E. Ratajczak, Marcin Forkiewicz · 2005
The paper compares a new population based method called PLA (population learning algorithm) with the evolutionary computation approach. The paper introduces a concept of the population learning algorithm, compares its features with those of the evolutionary computation approach and presents the results of the computational experiment. It has involved using both – PLA and evolutionary computation to solving a randomly generated set of instances of several computationally difficult combinatorial optimization problems. Experiment result show that using PLA to solve some difficult problems can produce competitive results both in terms of the computational effort required and quality of solutions.