Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Noisy Local Optimization with Evolution Strategies
Noisy Local Optimization with Evolution Strategies
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Step-Size Adaption Based on Non-Local Use of Selection Information
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
On three new approaches to handle constraints within evolution strategies
Natural Computing: an international journal
On the use of evolution strategies for optimising certain positive definite quadratic forms
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Constraint-handling techniques used with evolutionary algorithms
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Step length adaptation on ridge functions
Evolutionary Computation
On the Behaviour of the (1+1)-ES for a Simple Constrained Problem
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
On the behaviour of the (1,λ)-es for a simple constrained problem
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms
Search biases in constrained evolutionary optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
A simple multimembered evolution strategy to solve constrained optimization problems
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
HappyCat --- a simple function class where well-known direct search algorithms do fail
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
On the behaviour of the (1, λ)-es for a conically constrained problem
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Resampling versus repair in evolution strategies applied to a constrained linear problem
Evolutionary Computation
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We study the behaviour of a (1,λ)-ES that applies a simple repair mechanism to infeasible candidate solutions for the problem of maximising a linear function with a single linear constraint. Integral expressions that describe the strategy's one-generation behaviour are derived and used in a simple zeroth order model for the steady state of the strategy. Applied to the analysis of cumulative step size adaptation, the approach provides an intuitive explanation for the algorithm's behaviour as well as a condition on the setting of its parameters. A comparison with the strategy that resamples infeasible candidate solutions rather than repairing them is drawn, and the qualitatively different behaviour is explained.