no code implementations • 18 Apr 2020 • Anton V. Eremeev
We consider the expected runtime of non-elitist evolutionary algorithms (EAs), when they are applied to a family of fitness functions with a plateau of second-best fitness in a Hamming ball of radius r around a unique global optimum.
no code implementations • 19 Jul 2017 • Anton V. Eremeev, Alexander V. Kelmanov, Artem V. Pyatkin, Igor A. Ziegler
A computational experiment is carried out, where the proposed algorithm is compared to COINBONMIN solver, applied to a mixed integer quadratic programming formulation of the problem.
no code implementations • 7 Dec 2015 • Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre
The paper is devoted to upper bounds on run-time of Non-Elitist Genetic Algorithms until some target subset of solutions is visited for the first time.
no code implementations • 22 Nov 2015 • Anton V. Eremeev
This manuscript contains an outline of lectures course "Evolutionary Algorithms" read by the author.
no code implementations • 29 Jul 2014 • Dogan Corus, Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre
Finally, we prove that the theorem is nearly optimal for the processes considered.
no code implementations • 21 Jul 2013 • Anton V. Eremeev, Julia V. Kovalenko
This paper surveys results on complexity of the optimal recombination problem (ORP), which consists in finding the best possible offspring as a result of a recombination operator in a genetic algorithm, given two parent solutions.