We analyse the performance of well-known evolutionary algorithms, the (1+ 1)(1+ 1) EA and
the (1+ λ)(1+ λ) EA, in the prior noise model, where in each fitness evaluation the search …

We consider the problem of devising an approach for handling inequality constraints in
evolution strategies that allows converging linearly to optimal solutions on sphere functions …

When solving real-world optimization problems a frequently encountered difficulty is the
presence of uncertainties and noise within the system for which optima are sought. Due to …

Previous research proposed the uniform mutation inside the sphere as a new mutation
operator for evolution strategies (continuous evolutionary algorithms), with a case study of …

We present refined results for the expected optimisation time of the (1+ 1) EA and the (1+ λ)
EA on LeadingOnes in the prior noise model, where in each fitness evaluation the search …

This paper addresses the analysis of covariance matrix self-adaptive Evolution Strategies
(CMSA-ES) on a subclass of quadratic functions subject to additive Gaussian noise: the …

This paper studies the behaviour of the (1+ 1)-ES when applied to a linear problem with a
single linear constraint. It goes beyond previous work by considering constraint planes that …

Algorithms that search for robust optima often evaluate the effective fitness (robust fitness)
based on stochastic approximation schemes. In this setting, finding robust optima can be …

Tracking or more generally state estimation of dynamic systems are tasks that appear in
many different contexts-for instance in surveillance with wireless sensor networks. Usually …

This work addresses the theoretical and empirical analysis of Evolution Strategies (ESs) on
quadratic functions, in particular on Positive Definite Quadratic Forms (PDQFs). Referring to …