On the analysis of the (1+ 1) evolutionary algorithm
Theoretical Computer Science
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Contemporary Evolution Strategies
Proceedings of the Third European Conference on Advances in Artificial Life
Fitness Distance Correlation and Ridge Functions
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
On the Analysis of Dynamic Restart Strategies for Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Runtime Analysis of the (μ+1) EA on Simple Pseudo-Boolean Functions
Evolutionary Computation
How mutation and selection solve long-path problems in polynomial expected time
Evolutionary Computation
Theoretical advances in artificial immune systems
Theoretical Computer Science
On the utility of the population size for inversely fitness proportional mutation rates
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
Experimental analysis of the aging operator for static and dynamic optimisation problems
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
An Immune Algorithm for Protein Structure Prediction on Lattice Models
IEEE Transactions on Evolutionary Computation
Cooperative mutation based evolutionary programming for continuous function optimization
Operations Research Letters
Comparing Different Aging Operators
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Proceedings of the 12th annual conference on Genetic and evolutionary computation
On benefits and drawbacks of aging strategies for randomized search heuristics
Theoretical Computer Science
Artificial immune systems for optimisation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Artificial immune systems for optimisation
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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The concept of aging has been introduced and applied in many different variants in many different randomized search heuristics. The most important parameter is the maximal age of search points. Considering static pure aging known from artificial immune systems in the context of simple evolutionary algorithms, it is demonstrated that the choice of this parameter is both, crucial for the performance and difficult to set appropriately. The results are derived in a rigorous fashion and given as theorems with formal proofs. An additional contribution is the presentation of a general method to combine fitness functions into a function with stronger properties than its components. By application of this method we combine a function where the maximal age needs to be sufficiently large with a function where the maximal age needs to be sufficiently small. This yields a function where an appropriate age lies within a very narrow range.