Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise-Reference-Cited by-同舟云学术

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Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise

Published:2017-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Qian Chao¹,Bian Chao¹,Jiang Wu¹,Tang Ke¹

Affiliation:

1. University of Science and Technology of China, Hefei, China

Funder

Fundamental Research Funds for the Central Universities

CCF-Tencent Open Research Fund

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3071178.3071347

Reference20 articles.

1. Analysis of runtime of optimization algorithms for noisy functions over discrete codomains

2. A. Auger and B. Doerr. 2011. Theory of Randomized Search Heuristics: Foundations and Recent Developments. World Scientific Singapore. A. Auger and B. Doerr. 2011. Theory of Randomized Search Heuristics: Foundations and Recent Developments . World Scientific Singapore.

3. A survey on metaheuristics for stochastic combinatorial optimization

4. Efficient Optimisation of Noisy Fitness Functions with Population-based Evolutionary Algorithms

5. Ants easily solve stochastic shortest path problems

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1. On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics;Genetic Programming and Evolvable Machines;2022-04-09

2. Test Problem in Which Bits Used for Fitness Calculation Depend on Bit Pattern;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05

3. Runtime Analyses of the Population-Based Univariate Estimation of Distribution Algorithms on LeadingOnes;Algorithmica;2021-08-28

4. Theory for non-theoreticians;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2019-07-13

5. A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization;IEEE Access;2019

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