Theory of evolution strategies - a tutorial
Theoretical aspects of evolutionary computing
Noisy Local Optimization with Evolution Strategies
Noisy Local Optimization with Evolution Strategies
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Convergence Velocity Of Evolutionary Algorithm With Self-adaptation
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Theoretical Computer Science
Convergence results for the (1, λ)-SA-ES using the theory of ϕ-irreducible Markov chains
Theoretical Computer Science
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Analysis of the (1, λ) - ES on the Parabolic Ridge
Evolutionary Computation
Self-adaptation of evolution strategies under noisy fitness evaluations
Genetic Programming and Evolvable Machines
A derandomized approach to self-adaptation of evolution strategies
Evolutionary Computation
Toward a theory of evolution strategies: Self-adaptation
Evolutionary Computation
The steady state behavior of (µ/µI, λ)-ES on ellipsoidal fitness models disturbed by noise
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
On the performance of (1, λ)-evolution strategies for theridge function class
IEEE Transactions on Evolutionary Computation
Why noise may be good: additive noise on the sharp ridge
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Step length adaptation on ridge functions
Evolutionary Computation
A novel approach to adaptive isolation in evolution strategies
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Performance of the (µ/µ, λ)-σSA-ES on a class of PDQFs
IEEE Transactions on Evolutionary Computation
On the behaviour of the (1,λ)-σSA-ES for a constrained linear problem
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
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In this paper, the behavior of intermediate (µ/µI, λ)-ES with self-adaptation is considered for two classes of ridge functions: the sharp and the parabolic ridge. Using a step-by-step approach to describe the system's dynamics, we will investigate the underlying causes for the different behaviors of the ES on these function types and the effects of intermediate recombination.