On inversely proportional hypermutations with mutation potential
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[1] Pietro Simone Oliveto,et al. Theoretical analysis of fitness-proportional selection: landscapes and efficiency , 2009, GECCO.
[2] Thomas Jansen,et al. On the role of age diversity for effective aging operators , 2011, Evol. Intell..
[3] Thomas Jansen,et al. On the analysis of the (1+1) evolutionary algorithm , 2002, Theor. Comput. Sci..
[4] Dogan Corus,et al. Artificial immune systems can find arbitrarily good approximations for the NP-hard number partitioning problem , 2018, Artif. Intell..
[5] Vincenzo Cutello,et al. An Immune Algorithm for Protein Structure Prediction on Lattice Models , 2007, IEEE Transactions on Evolutionary Computation.
[6] JansenThomas,et al. On the analysis of the (1+ 1) evolutionary algorithm , 2002 .
[7] Feller William,et al. An Introduction To Probability Theory And Its Applications , 1950 .
[8] F. Burnet. The clonal selection theory of acquired immunity , 1959 .
[9] Dirk Sudholt,et al. The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses , 2018, Theory of Evolutionary Computation.
[10] Pietro Simone Oliveto,et al. Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem , 2018, PPSN.
[11] Dirk Sudholt,et al. On the benefits and risks of using fitness sharing for multimodal optimisation , 2019, Theor. Comput. Sci..
[12] Christine Zarges,et al. Rigorous Runtime Analysis of Inversely Fitness Proportional Mutation Rates , 2008, PPSN.
[13] Fernando José Von Zuben,et al. Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..
[14] Thomas Jansen,et al. Maximal age in randomized search heuristics with aging , 2009, GECCO.
[15] Pietro Simone Oliveto,et al. On the runtime analysis of stochastic ageing mechanisms , 2014, GECCO.
[16] Pietro Simone Oliveto,et al. Analysis of Diversity-Preserving Mechanisms for Global Exploration , 2009, Evolutionary Computation.
[17] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1967 .
[18] Dirk Sudholt,et al. Analysis of the Clearing Diversity-Preserving Mechanism , 2017, FOGA '17.
[19] Jason Brownlee,et al. Clonal selection algorithms , 2007 .
[20] L. Darrell Whitley,et al. The GENITOR Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is Best , 1989, ICGA.
[21] Pietro Simone Oliveto,et al. Improved time complexity analysis of the Simple Genetic Algorithm , 2015, Theor. Comput. Sci..
[22] Pietro Simone Oliveto,et al. On the runtime analysis of the opt-IA artificial immune system , 2017, GECCO.
[23] Pietro Simone Oliveto,et al. When Hypermutations and Ageing Enable Artificial Immune Systems to Outperform Evolutionary Algorithms , 2018, Theor. Comput. Sci..
[24] Thomas Jansen,et al. Variation in Artificial Immune Systems: Hypermutations with Mutation Potential , 2011, ICARIS.
[25] Pietro Simone Oliveto,et al. On the runtime analysis of the Simple Genetic Algorithm , 2014, Theor. Comput. Sci..
[26] Xin Yao,et al. Runtime Analysis of Evolutionary Algorithms for Discrete Optimization , 2011, Theory of Randomized Search Heuristics.
[27] F. Azuaje. Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .