Pietro S. Oliveto
机构: Professor of Computer Science, Chair in Algorithms, The University of Sheffield
每年引用次数
引用次数
引用: 2,704
H-指数: 30
I10-指数 : 57
出版物: 139
On the Benefits of Populations for the Exploitation Speed of Standard Steady-State Genetic Algorithms
Dogan Corus , Pietro S. Oliveto
Algorithmica 82 ( 12) 3676 -3706
6
2020
On the analysis of the immune-inspired B-cell algorithm for the vertex cover problem
Thomas Jansen , Pietro S. Oliveto , Christine Zarges
international conference on artificial immune systems 117 -131
34
2011
Time Complexity of Evolutionary Algorithms for Combinatorial Optimization: A Decade of Results
Pietro S. Oliveto , Jun He , Xin Yao
International Journal of Automation and Computing 4 ( 3) 281 -293
175
2007
Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation
Pietro S. Oliveto , Carsten Witt
parallel problem solving from nature 82 -91
38
2008
On inversely proportional hypermutations with mutation potential
Dogan Corus , Pietro S. Oliveto , Donya Yazdani
genetic and evolutionary computation conference 215 -223
3
2019
Evolving boolean functions with conjunctions and disjunctions via genetic programming
Benjamin Doerr , Andrei Lissovoi , Pietro S. Oliveto
genetic and evolutionary computation conference 1003 -1011
5
2019
Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem
Dogan Corus , Pietro S. Oliveto , Donya Yazdani
parallel problem solving from nature 16 -28
5
2018
Runtime Analysis of Population-based Evolutionary Algorithms
Per Kristian Lehre , Pietro S. Oliveto
genetic and evolutionary computation conference 435 -462
1
2016
Runtime analysis of evolutionary algorithms
Per Kristian Lehre , Pietro S. Oliveto
Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion 469 -498
1
2013
Analysis of the $(1+1)$ -EA for Finding Approximate Solutions to Vertex Cover Problems
Pietro S. Oliveto , Jun He , Xin Yao
IEEE Transactions on Evolutionary Computation 13 ( 5) 1006 -1029
76
2009
On the Analysis of Simple Genetic Programming for Evolving Boolean Functions
Andrea Mambrini , Pietro S. Oliveto
european conference on genetic programming 99 -114
9
2016
[ACM Press the Genetic and Evolutionary Computation Conference Companion - Kyoto, Japan (2018.07.15-2018.07.19)] Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18 - Runtime analysis of evolutionary algorithms
Per Kristian Lehre , Pietro S. Oliveto
Smpte Journal 448 -468
2018
[ACM Press the Companion Publication of the 2015 - Madrid, Spain (2015.07.11-2015.07.15)] Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15 - Runtime Analysis of Evolutionary Algorithms
Per Kristian Lehre , Pietro S. Oliveto
Smpte Journal 121 -136
2015
[ACM Press the 2014 conference companion - Vancouver, BC, Canada (2014.07.12-2014.07.16)] Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion - GECCO Comp '14 - Runtime analysis of evolutionary algorithms
Per Kristian Lehre , Pietro S. Oliveto
Smpte Journal 459 -486
2014
Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change
Pietro S. Oliveto , Christine Zarges
Theoretical Computer Science 561 37 -56
2015
Time Complexity of Evolutionary Algorithms for Combinatorial Optimization： A Decade of Results
Jun , Oliveto , Pietro , Xin
国际自动化与计算杂志 4 ( 3) 281 -293
264
2007
Evolutionary algorithms and the Vertex Cover problem
P. S. Oliveto , J. He , X. Yao
congress on evolutionary computation 1870 -1877
34
2007
Analysis of an evolutionary algorithm with HyperMacromutation and stop at first constructive mutation heuristic for solving trap functions
V. Cutello , G. Nicosia , P. S. Oliveto
acm symposium on applied computing 945 -949
3
2006
A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems............
R Cheng , M Li , K Li , X Yao
Theoretical Analysis of Stochastic Search Algorithms
Per Kristian Lehre , Pietro S. Oliveto
arXiv: Neural and Evolutionary Computing
21
2017