Comparing Evolutionary Computation Techniques via Their Representation. - Boris Mitavskiy (GECCO, 2003)

Crossover Invariant Subsets of the Search Space for Evolutionary Algorithms. - Boris Mitavskiy (Evol. Comput., 2004)

A mathematical model of evolutionary computation and some consequences. - Boris Mitavskiy (2004)

NP-Completeness of Deciding Binary Genetic Encodability. - Andreas Blass; Boris Mitavskiy (FOGA, 2005)

A Schema-Based Version of Geiringer's Theorem for Nonlinear Genetic Programming with Homologous Crossover. - Boris Mitavskiy; Jonathan E. Rowe (FOGA, 2005)

How fast does the stationary distribution of the Markov chain modelling EAs concentrate on the homogeneous populations for small mutation rate?. - Boris Mitavskiy; Jonathan E. Rowe (Theory of Evolutionary Algorithms, 2006)

Exploiting Quotients of Markov Chains to Derive Properties of the Stationary Distribution of the Markov Chain Associated to an Evolutionary Algorithm. - Boris Mitavskiy; Jonathan E. Rowe; Alden H. Wright; Lothar M. Schmitt (SEAL, 2006)

An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms. - Boris Mitavskiy; Jonathan E. Rowe (Evol. Comput., 2006)

Some results about the Markov chains associated to GPs and general EAs. - Boris Mitavskiy; Jonathan E. Rowe (Theor. Comput. Sci., 2006)

An improvement of the "quotient construction" method and further asymptotic results on the stationary distributions of the Markov chains modeling evolutionary algorithms. - Boris Mitavskiy; Chris Cannings (IEEE Congress on Evolutionary Computation, 2007)

Preliminary theoretical analysis of a local search algorithm to optimize network communication subject to preserving the total number of links. - Boris Mitavskiy; Jonathan E. Rowe; Chris Cannings (IEEE Congress on Evolutionary Computation, 2008)

Evaluating Stationary Distribution of the Binary GA Markov Chain in Special Cases. - Boris Mitavskiy; Chris Cannings (Theory of Evolutionary Algorithms, 2008)

Quotients of Markov chains and asymptotic properties of the stationary distribution of the Markov chain associated to an evolutionary algorithm. - Boris Mitavskiy; Jonathan E. Rowe; Alden H. Wright; Lothar M. Schmitt (Genet. Program. Evolvable Mach., 2008)

Estimating the Ratios of the Stationary Distribution Values for Markov Chains Modeling Evolutionary Algorithms. - Boris Mitavskiy; Chris Cannings (Evol. Comput., 2009)

Theoretical analysis of local search strategies to optimize network communication subject to preserving the total number of links. - Boris Mitavskiy; Jonathan E. Rowe; Chris Cannings (Int. J. Intell. Comput. Cybern., 2009)

A polynomial time approximation scheme for a single machine scheduling problem using a hybrid evolutionary algorithm. - Boris Mitavskiy; Jun He 004 (IEEE Congress on Evolutionary Computation, 2012)

A version of Geiringer-like theorem for decision making in the environments with randomness and incomplete information. - Boris Mitavskiy; Jonathan E. Rowe; Chris Cannings (Int. J. Intell. Comput. Cybern., 2012)

Combining drift analysis and generalized schema theory to design efficient hybrid and/or mixed strategy EAs. - Boris Mitavskiy; Jun He 004 (IEEE Congress on Evolutionary Computation, 2013)

On the evolution of self-organised role-allocation and role-switching behaviour in swarm robotics: a case study. - Elio Tuci; Boris Mitavskiy; Gianpiero Francesca (ECAL, 2013)

A further generalization of the finite-population geiringer-like theorem for pomdps to allow recombination overarbitrary set covers. - Boris Mitavskiy; Jun He 004 (FOGA, 2013)

Design and Analysis of an Estimation of Distribution Approximation Algorithm for Single Machine Scheduling in Uncertain Environments. - Boris Mitavskiy; Jun He 004 (CoRR, 2013)

A Further Generalization of the Finite-Population Geiringer-like Theorem for POMDPs to Allow Recombination Over Arbitrary Set Covers. - Boris Mitavskiy; Jun He 004 (CoRR, 2013)

Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning. - Boris Mitavskiy; Elio Tuci; Chris Cannings; Jonathan E. Rowe; Jun He 004 (Nat. Comput., 2013)

A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem. - Jun He 004; Boris Mitavskiy; Yuren Zhou (IEEE Congress on Evolutionary Computation, 2014)