
On SteadyState Evolutionary Algorithms and Selective Pressure: Why Inverse RankBased Allocation of Reproductive Trials is Best
We analyse the impact of the selective pressure for the global optimisat...
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On the Impact of the Cutoff Time on the Performance of Algorithm Configurators
Algorithm configurators are automated methods to optimise the parameters...
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Evolving Boolean Functions with Conjunctions and Disjunctions via Genetic Programming
Recently it has been proved that simple GP systems can efficiently evolv...
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On Inversely Proportional Hypermutations with Mutation Potential
Artificial Immune Systems (AIS) employing hypermutations with linear sta...
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On the Benefits of Populations on the Exploitation Speed of Standard SteadyState Genetic Algorithms
It is generally accepted that populations are useful for the global expl...
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Computational Complexity Analysis of Genetic Programming
Genetic Programming (GP) is an evolutionary computation technique to sol...
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Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NPHard Partition Problem
Typical Artificial Immune System (AIS) operators such as hypermutations ...
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Fast Artificial Immune Systems
Various studies have shown that characteristic Artificial Immune System ...
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When Hypermutations and Ageing Enable Artificial Immune Systems to Outperform Evolutionary Algorithms
We present a time complexity analysis of the OptIA artificial immune sy...
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Hyperheuristics Can Achieve Optimal Performance for PseudoBoolean Optimisation
Selection hyperheuristics are randomised search methodologies which cho...
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Theoretical Analysis of Stochastic Search Algorithms
Theoretical analyses of stochastic search algorithms, albeit few, have a...
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Standard Steady State Genetic Algorithms Can Hillclimb Faster than Mutationonly Evolutionary Algorithms
Explaining to what extent the real power of genetic algorithms lies in t...
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Escaping Local Optima using Crossover with Emergent or Reinforced Diversity
Population diversity is essential for avoiding premature convergence in ...
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Erratum: Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation
This erratum points out an error in the simplified drift theorem (SDT) [...
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Pietro S. Oliveto
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