Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
How to analyse evolutionary algorithms
Theoretical Computer Science - Natural computing
Hierarchically organised evolution strategies on the parabolic ridge
Proceedings of the 8th annual conference on Genetic and 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
Evolution strategies with cumulative step length adaptation on the noisy parabolic ridge
Natural Computing: an international journal
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Mutative self-adaptation on the sharp and parabolic ridge
FOGA'07 Proceedings of the 9th international conference on Foundations of genetic algorithms
On the analysis of self-adaptive evolution strategies on elliptic model: first results
Proceedings of the 12th annual conference on Genetic and evolutionary computation
On the behaviour of evolution strategies optimising cigar functions
Evolutionary Computation
Cumulative step length adaptation on ridge functions
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Self-adaptation on the ridge function class: first results for the sharp ridge
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Searching for balance: understanding self-adaptation on ridge functions
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Rigorous runtime analysis of the (1+1) ES: 1/5-rule and ellipsoidal fitness landscapes
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
Mutation strength control by meta-ES on the sharp ridge
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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This paper presents the N-dependent analysis of the (1, λ)-evolution strategy (ES) with isotropic mutations for the ridge functions including the special cases of sharp and parabolic ridges. The new approach presented allows for the prediction of the dynamics in ridge direction as well as in radial direction. The central quantities are the corresponding progress rates which are determined in terms of analytical expressions. Its predictive quality is evaluated by ES simulations and the steady-state behavior is discussed in detail