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03/13/2023
(1+1) Genetic Programming With Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error
Recently it has been proven that simple GP systems can efficiently evolv...
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03/18/2021
On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials is Best
We analyse the impact of the selective pressure for the global optimisat...
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04/12/2019
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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03/28/2019
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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03/27/2019
On Inversely Proportional Hypermutations with Mutation Potential
Artificial Immune Systems (AIS) employing hypermutations with linear sta...
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03/26/2019
On the Benefits of Populations on the Exploitation Speed of Standard Steady-State Genetic Algorithms
It is generally accepted that populations are useful for the global expl...
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11/11/2018
Computational Complexity Analysis of Genetic Programming
Genetic Programming (GP) is an evolutionary computation technique to sol...
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06/01/2018
Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem
Typical Artificial Immune System (AIS) operators such as hypermutations ...
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06/01/2018
Fast Artificial Immune Systems
Various studies have shown that characteristic Artificial Immune System ...
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04/04/2018
When Hypermutations and Ageing Enable Artificial Immune Systems to Outperform Evolutionary Algorithms
We present a time complexity analysis of the Opt-IA artificial immune sy...
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01/23/2018
Hyper-heuristics Can Achieve Optimal Performance for Pseudo-Boolean Optimisation
Selection hyper-heuristics are randomised search methodologies which cho...
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09/04/2017
Theoretical Analysis of Stochastic Search Algorithms
Theoretical analyses of stochastic search algorithms, albeit few, have a...
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08/04/2017
Standard Steady State Genetic Algorithms Can Hillclimb Faster than Mutation-only Evolutionary Algorithms
Explaining to what extent the real power of genetic algorithms lies in t...
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08/10/2016
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity
Population diversity is essential for avoiding premature convergence in ...
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11/30/2012
